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      "metadata": {
        "id": "t1UG63pRTCPE"
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      "source": [
        "Based on https://colab.research.google.com/drive/1jocViLorbwWIkTXKwxCOV9HLTaDDgCaw?usp=sharing"
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    },
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        "outputId": "24a0fe81-a771-425f-cc83-688217eca660"
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      "source": [
        "#@title\n",
        "!pip install transformers==3.1.0"
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          "text": [
            "Collecting transformers==3.1.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/ae/05/c8c55b600308dc04e95100dc8ad8a244dd800fe75dfafcf1d6348c6f6209/transformers-3.1.0-py3-none-any.whl (884kB)\n",
            "\u001b[K     |████████████████████████████████| 890kB 5.3MB/s \n",
            "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from transformers==3.1.0) (1.19.4)\n",
            "Collecting tokenizers==0.8.1.rc2\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/80/83/8b9fccb9e48eeb575ee19179e2bdde0ee9a1904f97de5f02d19016b8804f/tokenizers-0.8.1rc2-cp36-cp36m-manylinux1_x86_64.whl (3.0MB)\n",
            "\u001b[K     |████████████████████████████████| 3.0MB 12.1MB/s \n",
            "\u001b[?25hRequirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.6/dist-packages (from transformers==3.1.0) (4.41.1)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.6/dist-packages (from transformers==3.1.0) (20.8)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.6/dist-packages (from transformers==3.1.0) (2019.12.20)\n",
            "Collecting sentencepiece!=0.1.92\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/e5/2d/6d4ca4bef9a67070fa1cac508606328329152b1df10bdf31fb6e4e727894/sentencepiece-0.1.94-cp36-cp36m-manylinux2014_x86_64.whl (1.1MB)\n",
            "\u001b[K     |████████████████████████████████| 1.1MB 31.1MB/s \n",
            "\u001b[?25hRequirement already satisfied: dataclasses; python_version < \"3.7\" in /usr/local/lib/python3.6/dist-packages (from transformers==3.1.0) (0.8)\n",
            "Collecting sacremoses\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/7d/34/09d19aff26edcc8eb2a01bed8e98f13a1537005d31e95233fd48216eed10/sacremoses-0.0.43.tar.gz (883kB)\n",
            "\u001b[K     |████████████████████████████████| 890kB 38.6MB/s \n",
            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.6/dist-packages (from transformers==3.1.0) (3.0.12)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.6/dist-packages (from transformers==3.1.0) (2.23.0)\n",
            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.6/dist-packages (from packaging->transformers==3.1.0) (2.4.7)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from sacremoses->transformers==3.1.0) (1.15.0)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.6/dist-packages (from sacremoses->transformers==3.1.0) (7.1.2)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.6/dist-packages (from sacremoses->transformers==3.1.0) (1.0.0)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->transformers==3.1.0) (2.10)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->transformers==3.1.0) (3.0.4)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests->transformers==3.1.0) (1.24.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->transformers==3.1.0) (2020.12.5)\n",
            "Building wheels for collected packages: sacremoses\n",
            "  Building wheel for sacremoses (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for sacremoses: filename=sacremoses-0.0.43-cp36-none-any.whl size=893261 sha256=b71d64993e6c7c0416206329547dc97fbd47bec252c7f8c4b6a8d6abda00be51\n",
            "  Stored in directory: /root/.cache/pip/wheels/29/3c/fd/7ce5c3f0666dab31a50123635e6fb5e19ceb42ce38d4e58f45\n",
            "Successfully built sacremoses\n",
            "Installing collected packages: tokenizers, sentencepiece, sacremoses, transformers\n",
            "Successfully installed sacremoses-0.0.43 sentencepiece-0.1.94 tokenizers-0.8.1rc2 transformers-3.1.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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      "source": [
        "from transformers import pipeline\r\n",
        "import pandas as pd\r\n",
        "import csv\r\n",
        "from google.colab import files"
      ],
      "execution_count": 2,
      "outputs": []
    },
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        "classifier = pipeline(\"zero-shot-classification\")\n",
        "#classifier = pipeline(\"zero-shot-classification\", device=0) # to utilize GPU\n",
        "\n",
        "#classifier = pipeline(\"zero-shot-classification\", model=\"valhalla/distilbart-mnli-12-3\")\n",
        "#classifier = pipeline(\"zero-shot-classification\", model=\"valhalla/distilbart-mnli-12-3\", device=0) # to utilize GPU"
      ],
      "execution_count": 3,
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          "text": [
            "Some weights of the model checkpoint at facebook/bart-large-mnli were not used when initializing BartForSequenceClassification: ['model.encoder.version', 'model.decoder.version']\n",
            "- This IS expected if you are initializing BartForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPretraining model).\n",
            "- This IS NOT expected if you are initializing BartForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
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      },
      "source": [
        "We can use this pipeline by passing in a sequence and a list of candidate labels. The pipeline assumes by default that only one of the candidate labels is true, returning a list of scores for each label which add up to 1."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 347
        },
        "id": "E6StppldSWES",
        "outputId": "e80976e0-3042-4cef-d602-8efb18342e91"
      },
      "source": [
        "# load data\r\n",
        "filename = 'https://s3-eu-west-1.amazonaws.com/files.innerdoc.com/christmas-emotion-detection/songs.csv'\r\n",
        "separator = ';'\r\n",
        "encoding = 'utf-8'\r\n",
        "df = pd.read_csv(filename, sep=separator, header=0, encoding=encoding)\r\n",
        "df"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Id</th>\n",
              "      <th>Artist</th>\n",
              "      <th>Title</th>\n",
              "      <th>Album</th>\n",
              "      <th>Released</th>\n",
              "      <th>Youtube_url</th>\n",
              "      <th>Lyrics</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>Mariah Carey</td>\n",
              "      <td>All I want for Christmas is you</td>\n",
              "      <td>Merry Christmas</td>\n",
              "      <td>1994</td>\n",
              "      <td>https://www.youtube.com/watch?v=yXQViqx6GMY</td>\n",
              "      <td>I don't want a lot for Christmas\\nThere is jus...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>Wham!</td>\n",
              "      <td>Last Christmas</td>\n",
              "      <td>Now – The Christmas Album</td>\n",
              "      <td>1985</td>\n",
              "      <td>https://www.youtube.com/watch?v=E8gmARGvPlI</td>\n",
              "      <td>Last Christmas I gave you my heart\\nBut the ve...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>Band Aid</td>\n",
              "      <td>Do they Know it's Christmas</td>\n",
              "      <td>Do They Know It's Christmas?</td>\n",
              "      <td>1984</td>\n",
              "      <td>https://www.youtube.com/watch?v=bjQzJAKxTrE</td>\n",
              "      <td>It's Christmas time, there's no need to be afr...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>The Pogues</td>\n",
              "      <td>Fairytale Of New York</td>\n",
              "      <td>If I Should Fall from Grace with God</td>\n",
              "      <td>1988</td>\n",
              "      <td>https://www.youtube.com/watch?v=j9jbdgZidu8</td>\n",
              "      <td>It was Christmas Eve babe\\nIn the drunk tank\\n...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>Michael Bublé</td>\n",
              "      <td>Santa Claus Is Coming To Town</td>\n",
              "      <td>Christmas</td>\n",
              "      <td>2011</td>\n",
              "      <td>https://www.youtube.com/watch?v=R8CBoVc_OMI</td>\n",
              "      <td>You better watch out\\nYou better not cry\\nYou ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>Chris Rea</td>\n",
              "      <td>Driving Home For Christmas</td>\n",
              "      <td>On the Beach</td>\n",
              "      <td>1986</td>\n",
              "      <td>https://www.youtube.com/watch?v=DDt3u2Ev1cI</td>\n",
              "      <td>I'm driving home for Christmas\\nOh, I can't wa...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>Shakin' Stevens</td>\n",
              "      <td>Merry Christmas Everyone</td>\n",
              "      <td>Merry Christmas Everyone</td>\n",
              "      <td>1985</td>\n",
              "      <td>https://www.youtube.com/watch?v=N-PyWfVkjZc</td>\n",
              "      <td>Snow is falling\\nAll around me\\nChildren playi...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8</td>\n",
              "      <td>The Jackson 5</td>\n",
              "      <td>I Saw Mommy Kissing Santa Claus</td>\n",
              "      <td>Jackson 5 Christmas Album</td>\n",
              "      <td>1970</td>\n",
              "      <td>https://www.youtube.com/watch?v=O89sPooBhyE</td>\n",
              "      <td>Wow! Mommy's kissing Santa Claus!\\nI saw Mommy...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>9</td>\n",
              "      <td>John Lennon, Yoko Ono</td>\n",
              "      <td>Happy Xmas (War Is Over)</td>\n",
              "      <td>Working Class Hero: The Definitive Lennon</td>\n",
              "      <td>1971</td>\n",
              "      <td>https://www.youtube.com/watch?v=flA5ndOyZbI</td>\n",
              "      <td>So this is Christmas\\nAnd what have you done\\n...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10</td>\n",
              "      <td>The Pretenders</td>\n",
              "      <td>2000 Miles</td>\n",
              "      <td>Learning to Crawl</td>\n",
              "      <td>1983</td>\n",
              "      <td>https://www.youtube.com/watch?v=AEyGZlBdkaA</td>\n",
              "      <td>She's gone 2000 miles, it's very far\\nThe snow...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Id  ...                                             Lyrics\n",
              "0   1  ...  I don't want a lot for Christmas\\nThere is jus...\n",
              "1   2  ...  Last Christmas I gave you my heart\\nBut the ve...\n",
              "2   3  ...  It's Christmas time, there's no need to be afr...\n",
              "3   4  ...  It was Christmas Eve babe\\nIn the drunk tank\\n...\n",
              "4   5  ...  You better watch out\\nYou better not cry\\nYou ...\n",
              "5   6  ...  I'm driving home for Christmas\\nOh, I can't wa...\n",
              "6   7  ...  Snow is falling\\nAll around me\\nChildren playi...\n",
              "7   8  ...  Wow! Mommy's kissing Santa Claus!\\nI saw Mommy...\n",
              "8   9  ...  So this is Christmas\\nAnd what have you done\\n...\n",
              "9  10  ...  She's gone 2000 miles, it's very far\\nThe snow...\n",
              "\n",
              "[10 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 335
        },
        "id": "v1tfJKb8XVLq",
        "outputId": "33e8cdde-a393-4d3d-89c3-82767dba0772"
      },
      "source": [
        "# load data\r\n",
        "filename = 'https://s3-eu-west-1.amazonaws.com/files.innerdoc.com/christmas-emotion-detection/plutchik.csv'\r\n",
        "separator = ';'\r\n",
        "encoding = 'utf-8'\r\n",
        "df_emotions = pd.read_csv(filename, sep=separator, header=0, encoding=encoding)\r\n",
        "df_emotions['emotion_label'] = df_emotions['primary_emotion'] + ' ' + df_emotions['intense_emotion'] #df_emotions[['primary_emotion', 'intense_emotion']].apply(lambda x: ' '.join(x), axis=1)\r\n",
        "candidate_labels =  df_emotions[df_emotions['id'] > -1].emotion_label.values.tolist()\r\n",
        "print(candidate_labels)\r\n",
        "df_emotions\r\n",
        "#[[\"terror fear\", \"protection\"], [\"amazement surprise\", \"orientation\"], [\"grief sadness\", \"reintegration\"], [\"loathing disgust\", \"rejection\"], [\"rage anger\", \"destruction\"], [\"vigilance anticipation\", \"exploration\"], [\"ecstasy joy\", \"reproduction\"], [\"admiration trust\", \"affiliation\"]]"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['fear terror', 'surprise amazement', 'sadness grief', 'disgust loathing', 'anger rage', 'anticipation vigilance', 'joy ecstasy', 'trust admiration']\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>intense_emotion</th>\n",
              "      <th>primary_emotion</th>\n",
              "      <th>mild_emotion</th>\n",
              "      <th>combination_1</th>\n",
              "      <th>combination_1_result</th>\n",
              "      <th>combination_2</th>\n",
              "      <th>combination_2_result</th>\n",
              "      <th>opposite_primary_emotion</th>\n",
              "      <th>stimulus_event</th>\n",
              "      <th>cognitive_appraisal</th>\n",
              "      <th>behavior</th>\n",
              "      <th>function</th>\n",
              "      <th>effect</th>\n",
              "      <th>intense_emotion_color</th>\n",
              "      <th>primary_emotion_color</th>\n",
              "      <th>mild_emotion_color</th>\n",
              "      <th>tekst_color</th>\n",
              "      <th>emotion_label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>terror</td>\n",
              "      <td>fear</td>\n",
              "      <td>apprehension</td>\n",
              "      <td>surprise</td>\n",
              "      <td>awe</td>\n",
              "      <td>trust</td>\n",
              "      <td>submission</td>\n",
              "      <td>anger</td>\n",
              "      <td>threat</td>\n",
              "      <td>danger</td>\n",
              "      <td>escape</td>\n",
              "      <td>running away,find safety</td>\n",
              "      <td>protection</td>\n",
              "      <td>#a3cc3f</td>\n",
              "      <td>#b4d465</td>\n",
              "      <td>#d9e8b1</td>\n",
              "      <td>#85a82d</td>\n",
              "      <td>fear terror</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>amazement</td>\n",
              "      <td>surprise</td>\n",
              "      <td>distraction</td>\n",
              "      <td>sadness</td>\n",
              "      <td>disappointment</td>\n",
              "      <td>fear</td>\n",
              "      <td>awe</td>\n",
              "      <td>anticipation</td>\n",
              "      <td>unexpected event</td>\n",
              "      <td>what is it?</td>\n",
              "      <td>stopping, alerting</td>\n",
              "      <td>gain time to orient</td>\n",
              "      <td>orientation</td>\n",
              "      <td>#61c082</td>\n",
              "      <td>#85ca9b</td>\n",
              "      <td>#c1e1c9</td>\n",
              "      <td>#3a8055</td>\n",
              "      <td>surprise amazement</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>grief</td>\n",
              "      <td>sadness</td>\n",
              "      <td>pensiveness</td>\n",
              "      <td>disgust</td>\n",
              "      <td>remorse</td>\n",
              "      <td>surprise</td>\n",
              "      <td>disappointment</td>\n",
              "      <td>joy</td>\n",
              "      <td>loss of valued object</td>\n",
              "      <td>abandonment, isolation</td>\n",
              "      <td>crying for help</td>\n",
              "      <td>reattach to lost object</td>\n",
              "      <td>reintegration</td>\n",
              "      <td>#40bded</td>\n",
              "      <td>#71c9f1</td>\n",
              "      <td>#b9e2f8</td>\n",
              "      <td>#3d87a4</td>\n",
              "      <td>sadness grief</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>loathing</td>\n",
              "      <td>disgust</td>\n",
              "      <td>boredom</td>\n",
              "      <td>anger</td>\n",
              "      <td>contempt</td>\n",
              "      <td>sadness</td>\n",
              "      <td>remorse</td>\n",
              "      <td>trust</td>\n",
              "      <td>gruesome object</td>\n",
              "      <td>poison</td>\n",
              "      <td>vomiting, pushing away</td>\n",
              "      <td>eject poison</td>\n",
              "      <td>rejection</td>\n",
              "      <td>#964097</td>\n",
              "      <td>#a665a9</td>\n",
              "      <td>#cca9d1</td>\n",
              "      <td>#a549a8</td>\n",
              "      <td>disgust loathing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>rage</td>\n",
              "      <td>anger</td>\n",
              "      <td>annoyance</td>\n",
              "      <td>anticipation</td>\n",
              "      <td>aggressiveness</td>\n",
              "      <td>disgust</td>\n",
              "      <td>contempt</td>\n",
              "      <td>fear</td>\n",
              "      <td>obstacle</td>\n",
              "      <td>enemy</td>\n",
              "      <td>attacking</td>\n",
              "      <td>destroy obstacle</td>\n",
              "      <td>destruction</td>\n",
              "      <td>#dd0c81</td>\n",
              "      <td>#e35995</td>\n",
              "      <td>#efaac7</td>\n",
              "      <td>#e35995</td>\n",
              "      <td>anger rage</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>vigilance</td>\n",
              "      <td>anticipation</td>\n",
              "      <td>interest</td>\n",
              "      <td>joy</td>\n",
              "      <td>optimism</td>\n",
              "      <td>anger</td>\n",
              "      <td>aggressiveness</td>\n",
              "      <td>surprise</td>\n",
              "      <td>new territory</td>\n",
              "      <td>what's out there?</td>\n",
              "      <td>examining, mapping</td>\n",
              "      <td>knowledge of territory</td>\n",
              "      <td>exploration</td>\n",
              "      <td>#faa719</td>\n",
              "      <td>#fcb84d</td>\n",
              "      <td>#ffd8a4</td>\n",
              "      <td>#ee7c28</td>\n",
              "      <td>anticipation vigilance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>ecstasy</td>\n",
              "      <td>joy</td>\n",
              "      <td>serenity</td>\n",
              "      <td>trust</td>\n",
              "      <td>love</td>\n",
              "      <td>anticipation</td>\n",
              "      <td>optimism</td>\n",
              "      <td>sadness</td>\n",
              "      <td>gain of valued object</td>\n",
              "      <td>posses</td>\n",
              "      <td>retaining, courting</td>\n",
              "      <td>gain resources</td>\n",
              "      <td>reproduction</td>\n",
              "      <td>#f4eb24</td>\n",
              "      <td>#f8f06b</td>\n",
              "      <td>#f9f39b</td>\n",
              "      <td>#e7c436</td>\n",
              "      <td>joy ecstasy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8</td>\n",
              "      <td>admiration</td>\n",
              "      <td>trust</td>\n",
              "      <td>acceptance</td>\n",
              "      <td>fear</td>\n",
              "      <td>submission</td>\n",
              "      <td>joy</td>\n",
              "      <td>love</td>\n",
              "      <td>disgust</td>\n",
              "      <td>group member</td>\n",
              "      <td>friend</td>\n",
              "      <td>grooming, sharing</td>\n",
              "      <td>mutual support</td>\n",
              "      <td>affiliation</td>\n",
              "      <td>#dddd26</td>\n",
              "      <td>#dae25b</td>\n",
              "      <td>#eaefad</td>\n",
              "      <td>#abbc17</td>\n",
              "      <td>trust admiration</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>-1</td>\n",
              "      <td>unknown</td>\n",
              "      <td>unknown</td>\n",
              "      <td>unknown</td>\n",
              "      <td>unknown</td>\n",
              "      <td>unknown</td>\n",
              "      <td>unknown</td>\n",
              "      <td>unknown</td>\n",
              "      <td>unknown</td>\n",
              "      <td>unknown</td>\n",
              "      <td>unknown</td>\n",
              "      <td>unknown</td>\n",
              "      <td>unknown</td>\n",
              "      <td>unknown</td>\n",
              "      <td>#d3d3d3</td>\n",
              "      <td>#d3d3d3</td>\n",
              "      <td>#d3d3d3</td>\n",
              "      <td>#d3d3d3</td>\n",
              "      <td>unknown unknown</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id intense_emotion  ... tekst_color           emotion_label\n",
              "0   1          terror  ...     #85a82d             fear terror\n",
              "1   2       amazement  ...     #3a8055      surprise amazement\n",
              "2   3           grief  ...     #3d87a4           sadness grief\n",
              "3   4        loathing  ...     #a549a8        disgust loathing\n",
              "4   5            rage  ...     #e35995              anger rage\n",
              "5   6       vigilance  ...     #ee7c28  anticipation vigilance\n",
              "6   7         ecstasy  ...     #e7c436             joy ecstasy\n",
              "7   8      admiration  ...     #abbc17        trust admiration\n",
              "8  -1         unknown  ...     #d3d3d3         unknown unknown\n",
              "\n",
              "[9 rows x 19 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hkfE6NRA0Dzy"
      },
      "source": [
        "def classify(lyrics):\n",
        "  sequence = lyrics.split('\\n')\n",
        "  hypothesis_template = \"The sentiment of this text is {}.\"\n",
        "\n",
        "  resp = classifier(sequence, candidate_labels, hypothesis_template=hypothesis_template, multi_class=True)\n",
        "  if type(resp) != list:\n",
        "    resp = [resp]\n",
        "\n",
        "  return resp\n",
        "\n",
        "\n",
        "def parse_lyrics(song_id, lyric):\n",
        "  sentences = lyric.split('\\n')\n",
        "  results = []\n",
        "  for sent_id, sent in enumerate(sentences):\n",
        "    print(f'\\n{sent}')\n",
        "    if len(sent) > 12:\n",
        "      response = classify(sent)\n",
        "    else:\n",
        "      response = []\n",
        "\n",
        "    for r in response:\n",
        "      labels = []\n",
        "      for label, score in zip(r['labels'], r['scores']):\n",
        "        if score > .85 or score >= max(r['scores']):\n",
        "          label_id = df_emotions[df_emotions['emotion_label'] == label]['id'].values[0]\n",
        "          labels.append([label_id, label, score])\n",
        "          print(f'    {label} ({round(score, 2)})')\n",
        "      results.append([song_id, sent_id, sent, labels])\n",
        "\n",
        "    if not response:\n",
        "      results.append([song_id, sent_id, sent, [[-1, 'UNK', 0.0]] ])\n",
        "\n",
        "  return results\n"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "aGZLllzk7fYN",
        "outputId": "a385fe2d-71ea-46e5-da33-641117693180"
      },
      "source": [
        "# parse all lyrics\r\n",
        "total = []\r\n",
        "for index, row in df.iterrows():\r\n",
        "  if index > 99:\r\n",
        "    break\r\n",
        "  print(f'\\n{row.Artist} - {row.Title} ({row.Released})\\n')\r\n",
        "  results = parse_lyrics(row.Id, row.Lyrics)\r\n",
        "  for r in results:\r\n",
        "    total.append(r)\r\n",
        "\r\n",
        "# export  \r\n",
        "filename = 'songlabels.csv'\r\n",
        "with open(filename, 'w', newline='\\n') as f:\r\n",
        "  wr = csv.writer(f, delimiter=';', quoting=csv.QUOTE_ALL)\r\n",
        "  wr.writerow(['song_id', 'sent_id', 'sent', 'labels'])\r\n",
        "  for row in total:\r\n",
        "    wr.writerow(row)\r\n",
        "\r\n",
        "files.download(filename)\r\n",
        "\r\n",
        "print('\\n\\n\\nDATA EXPORTED!')"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Mariah Carey - All I want for Christmas is you (1994)\n",
            "\n",
            "\n",
            "I don't want a lot for Christmas\n",
            "    anticipation vigilance (0.3)\n",
            "\n",
            "There is just one thing I need\n",
            "    anticipation vigilance (0.64)\n",
            "\n",
            "I don't care about the presents\n",
            "    disgust loathing (0.96)\n",
            "\n",
            "Underneath the Christmas tree\n",
            "    surprise amazement (0.84)\n",
            "\n",
            "I just want you for my own\n",
            "    trust admiration (0.96)\n",
            "\n",
            "More than you could ever know\n",
            "    surprise amazement (0.99)\n",
            "\n",
            "Make my wish come true\n",
            "    anticipation vigilance (0.52)\n",
            "\n",
            "All I want for Christmas is you, yeah\n",
            "    trust admiration (0.96)\n",
            "\n",
            "I don't want a lot for Christmas\n",
            "    anticipation vigilance (0.3)\n",
            "\n",
            "There is just one thing I need\n",
            "    anticipation vigilance (0.64)\n",
            "\n",
            "And I don't care about the presents\n",
            "    disgust loathing (0.88)\n",
            "\n",
            "Underneath the Christmas tree\n",
            "    surprise amazement (0.84)\n",
            "\n",
            "I don't need to hang my stocking\n",
            "    surprise amazement (0.8)\n",
            "\n",
            "There upon the fireplace\n",
            "    surprise amazement (0.74)\n",
            "\n",
            "Santa Claus won't make me happy\n",
            "    disgust loathing (0.98)\n",
            "    sadness grief (0.95)\n",
            "\n",
            "With a toy on Christmas Day\n",
            "    surprise amazement (0.86)\n",
            "\n",
            "I just want you for my own\n",
            "    trust admiration (0.96)\n",
            "\n",
            "More than you could ever know\n",
            "    surprise amazement (0.99)\n",
            "\n",
            "Make my wish come true\n",
            "    anticipation vigilance (0.52)\n",
            "\n",
            "All I want for Christmas is you\n",
            "    trust admiration (0.95)\n",
            "\n",
            "You, baby\n",
            "\n",
            "Oh, I won't ask for much this Christmas\n",
            "    sadness grief (0.66)\n",
            "\n",
            "I won't even wish for snow\n",
            "    disgust loathing (0.98)\n",
            "\n",
            "And I'm just gonna keep on waiting\n",
            "    anticipation vigilance (1.0)\n",
            "\n",
            "Underneath the mistletoe\n",
            "    surprise amazement (0.73)\n",
            "\n",
            "I won't make a list and send it\n",
            "    anticipation vigilance (0.24)\n",
            "\n",
            "To the North Pole for Saint Nick\n",
            "    anticipation vigilance (0.91)\n",
            "\n",
            "I won't even stay awake to\n",
            "    disgust loathing (0.98)\n",
            "    fear terror (0.95)\n",
            "    anger rage (0.93)\n",
            "    sadness grief (0.91)\n",
            "\n",
            "Hear those magic reindeer click\n",
            "    trust admiration (0.95)\n",
            "    surprise amazement (0.93)\n",
            "    anticipation vigilance (0.91)\n",
            "\n",
            "'Cause I just want you here tonight\n",
            "    anticipation vigilance (0.95)\n",
            "    trust admiration (0.9)\n",
            "\n",
            "Holding on to me so tight\n",
            "    anticipation vigilance (0.98)\n",
            "    trust admiration (0.98)\n",
            "    surprise amazement (0.85)\n",
            "\n",
            "What more can I do?\n",
            "    sadness grief (0.82)\n",
            "\n",
            "Baby, all I want for Christmas is you\n",
            "    trust admiration (0.95)\n",
            "\n",
            "You, baby\n",
            "\n",
            "Oh, all the lights are shining so brightly everywhere\n",
            "    surprise amazement (0.99)\n",
            "    joy ecstasy (0.97)\n",
            "    trust admiration (0.96)\n",
            "\n",
            "And the sound of children's laughter fills the air\n",
            "    joy ecstasy (0.72)\n",
            "\n",
            "And everyone is singing\n",
            "    joy ecstasy (0.97)\n",
            "\n",
            "I hear those sleigh bells ringing\n",
            "    anticipation vigilance (0.98)\n",
            "    trust admiration (0.87)\n",
            "    surprise amazement (0.87)\n",
            "\n",
            "Santa, won't you bring me the one I really need?\n",
            "    sadness grief (0.87)\n",
            "\n",
            "Won't you please bring my baby to me?\n",
            "    sadness grief (0.99)\n",
            "    anger rage (0.93)\n",
            "    fear terror (0.91)\n",
            "\n",
            "Oh, I don't want a lot for Christmas\n",
            "    sadness grief (0.6)\n",
            "\n",
            "This is all I'm asking for\n",
            "    trust admiration (0.57)\n",
            "\n",
            "I just wanna see my baby\n",
            "    sadness grief (0.96)\n",
            "\n",
            "Standing right outside my door\n",
            "    anticipation vigilance (0.89)\n",
            "\n",
            "Oh, I just want you for my own\n",
            "    trust admiration (0.97)\n",
            "\n",
            "More than you could ever know\n",
            "    surprise amazement (0.99)\n",
            "\n",
            "Make my wish come true\n",
            "    anticipation vigilance (0.52)\n",
            "\n",
            "Baby, all I want for Christmas... is you\n",
            "    trust admiration (0.94)\n",
            "\n",
            "You, baby\n",
            "\n",
            "All I want for Christmas is you, baby\n",
            "    trust admiration (0.96)\n",
            "\n",
            "All I want for Christmas is you, baby\n",
            "    trust admiration (0.96)\n",
            "\n",
            "All I want for Christmas is you, baby\n",
            "    trust admiration (0.96)\n",
            "\n",
            "All I want for Christmas is you, baby\n",
            "    trust admiration (0.96)\n",
            "\n",
            "All I want for Christmas is you, baby\n",
            "    trust admiration (0.96)\n",
            "\n",
            "Wham! - Last Christmas (1985)\n",
            "\n",
            "\n",
            "Last Christmas I gave you my heart\n",
            "    trust admiration (0.8)\n",
            "\n",
            "But the very next day you gave it away\n",
            "    sadness grief (0.92)\n",
            "    surprise amazement (0.91)\n",
            "\n",
            "This year, to save me from tears\n",
            "    anticipation vigilance (0.69)\n",
            "\n",
            "I'll give it to someone special\n",
            "    anticipation vigilance (0.85)\n",
            "\n",
            "Last Christmas I gave you my heart\n",
            "    trust admiration (0.8)\n",
            "\n",
            "But the very next day you gave it away (you gave it away)\n",
            "    surprise amazement (0.92)\n",
            "    sadness grief (0.86)\n",
            "\n",
            "This year, to save me from tears\n",
            "    anticipation vigilance (0.69)\n",
            "\n",
            "I'll give it to someone special (special)\n",
            "    anticipation vigilance (0.87)\n",
            "\n",
            "Once bitten and twice shy\n",
            "    fear terror (0.96)\n",
            "    sadness grief (0.93)\n",
            "    surprise amazement (0.86)\n",
            "\n",
            "I keep my distance, but you still catch my eye\n",
            "    anticipation vigilance (0.99)\n",
            "    trust admiration (0.93)\n",
            "\n",
            "Tell me baby, do you recognize me?\n",
            "    anticipation vigilance (0.95)\n",
            "    surprise amazement (0.93)\n",
            "\n",
            "Well, it's been a year, it doesn't surprise me\n",
            "    sadness grief (0.69)\n",
            "\n",
            "\"Merry Christmas\" I wrapped it up and sent it\n",
            "    joy ecstasy (0.83)\n",
            "\n",
            "With a note saying \"I love you\", I meant it\n",
            "    trust admiration (0.98)\n",
            "\n",
            "Now I know what a fool I've been\n",
            "    sadness grief (0.98)\n",
            "\n",
            "But if you kissed me now, I know you'd fool me again\n",
            "    surprise amazement (0.93)\n",
            "    anticipation vigilance (0.9)\n",
            "    sadness grief (0.86)\n",
            "\n",
            "Last Christmas I gave you my heart\n",
            "    trust admiration (0.8)\n",
            "\n",
            "But the very next day you gave it away (you gave it away)\n",
            "    surprise amazement (0.92)\n",
            "    sadness grief (0.86)\n",
            "\n",
            "This year, to save me from tears\n",
            "    anticipation vigilance (0.69)\n",
            "\n",
            "I'll give it to someone special (special)\n",
            "    anticipation vigilance (0.87)\n",
            "\n",
            "Last Christmas I gave you my heart\n",
            "    trust admiration (0.8)\n",
            "\n",
            "But the very next day you gave it away\n",
            "    sadness grief (0.92)\n",
            "    surprise amazement (0.91)\n",
            "\n",
            "This year, to save me from tears\n",
            "    anticipation vigilance (0.69)\n",
            "\n",
            "I'll give it to someone special (special)\n",
            "    anticipation vigilance (0.87)\n",
            "\n",
            "Ohh\n",
            "\n",
            "Oh, oh, baby\n",
            "\n",
            "A crowded room, friends with tired eyes\n",
            "    sadness grief (0.87)\n",
            "\n",
            "I'm hiding from you and your soul of ice\n",
            "    disgust loathing (1.0)\n",
            "    fear terror (0.99)\n",
            "    anticipation vigilance (0.98)\n",
            "    sadness grief (0.95)\n",
            "    anger rage (0.94)\n",
            "\n",
            "My God, I thought you were someone to rely on\n",
            "    surprise amazement (1.0)\n",
            "    sadness grief (0.99)\n",
            "    fear terror (0.94)\n",
            "\n",
            "Me? I guess I was a shoulder to cry on\n",
            "    sadness grief (0.82)\n",
            "\n",
            "A face on a lover with a fire in his heart\n",
            "    anger rage (0.99)\n",
            "    trust admiration (0.98)\n",
            "    joy ecstasy (0.97)\n",
            "    surprise amazement (0.87)\n",
            "\n",
            "A man under cover but you tore me apart\n",
            "    sadness grief (0.99)\n",
            "    anger rage (0.99)\n",
            "    disgust loathing (0.97)\n",
            "    fear terror (0.96)\n",
            "    surprise amazement (0.94)\n",
            "\n",
            "Ooh, ooh, now I've found a real love\n",
            "    surprise amazement (1.0)\n",
            "    joy ecstasy (0.99)\n",
            "    trust admiration (0.99)\n",
            "\n",
            "You'll never fool me again\n",
            "    anticipation vigilance (1.0)\n",
            "    disgust loathing (1.0)\n",
            "    anger rage (1.0)\n",
            "    fear terror (0.99)\n",
            "    sadness grief (0.88)\n",
            "    surprise amazement (0.87)\n",
            "\n",
            "Last Christmas I gave you my heart\n",
            "    trust admiration (0.8)\n",
            "\n",
            "But the very next day you gave it away (you gave it away)\n",
            "    surprise amazement (0.92)\n",
            "    sadness grief (0.86)\n",
            "\n",
            "This year, to save me from tears\n",
            "    anticipation vigilance (0.69)\n",
            "\n",
            "I'll give it to someone special (special)\n",
            "    anticipation vigilance (0.87)\n",
            "\n",
            "Last Christmas I gave you my heart\n",
            "    trust admiration (0.8)\n",
            "\n",
            "But the very next day you gave it away\n",
            "    sadness grief (0.92)\n",
            "    surprise amazement (0.91)\n",
            "\n",
            "This year, to save me from tears\n",
            "    anticipation vigilance (0.69)\n",
            "\n",
            "I'll give it to someone special\n",
            "    anticipation vigilance (0.85)\n",
            "\n",
            "Special\n",
            "\n",
            "A face on a lover with a fire in his heart (I gave you mine)\n",
            "    anger rage (0.99)\n",
            "    trust admiration (0.98)\n",
            "    joy ecstasy (0.97)\n",
            "\n",
            "A man under cover but you tore him apart\n",
            "    anger rage (0.98)\n",
            "    sadness grief (0.98)\n",
            "    surprise amazement (0.98)\n",
            "    disgust loathing (0.96)\n",
            "    fear terror (0.87)\n",
            "\n",
            "Maybe next year we'll give it to someone\n",
            "    anticipation vigilance (0.97)\n",
            "\n",
            "I'll give it to someone special\n",
            "    anticipation vigilance (0.85)\n",
            "\n",
            "Special\n",
            "\n",
            "So long...\n",
            "\n",
            "Band Aid - Do they Know it's Christmas (1984)\n",
            "\n",
            "\n",
            "It's Christmas time, there's no need to be afraid\n",
            "    joy ecstasy (0.94)\n",
            "\n",
            "At Christmas time, we let in light and we banish shade\n",
            "    trust admiration (0.8)\n",
            "\n",
            "And in our world of plenty we can spread a smile of joy\n",
            "    joy ecstasy (0.92)\n",
            "\n",
            "Throw your arms around the world at Christmas time\n",
            "    joy ecstasy (0.97)\n",
            "    surprise amazement (0.89)\n",
            "\n",
            "But say a prayer, Pray for the other ones\n",
            "    anticipation vigilance (0.9)\n",
            "\n",
            "At Christmas time it's hard, but when you're having fun\n",
            "    trust admiration (0.54)\n",
            "\n",
            "There's a world outside your window\n",
            "    surprise amazement (0.89)\n",
            "    anticipation vigilance (0.88)\n",
            "\n",
            "And it's a world of dread and fear\n",
            "    fear terror (1.0)\n",
            "    disgust loathing (0.99)\n",
            "    sadness grief (0.96)\n",
            "\n",
            "Where the only water flowing\n",
            "    surprise amazement (0.81)\n",
            "\n",
            "Is the bitter sting of tears\n",
            "    sadness grief (0.98)\n",
            "\n",
            "And the Christmas bells that ring\n",
            "    joy ecstasy (0.9)\n",
            "    anticipation vigilance (0.85)\n",
            "\n",
            "There are the clanging chimes of doom\n",
            "    fear terror (1.0)\n",
            "    sadness grief (1.0)\n",
            "    disgust loathing (0.99)\n",
            "\n",
            "Well tonight thank God it's them instead of you\n",
            "    trust admiration (0.98)\n",
            "\n",
            "And there won't be snow in Africa this Christmas time\n",
            "    surprise amazement (0.83)\n",
            "\n",
            "The greatest gift they'll get this year is life\n",
            "    surprise amazement (0.86)\n",
            "\n",
            "Where nothing ever grows\n",
            "    disgust loathing (0.96)\n",
            "\n",
            "No rain nor rivers flow\n",
            "    surprise amazement (0.69)\n",
            "\n",
            "Do they know it's Christmas time at all?\n",
            "    surprise amazement (0.93)\n",
            "\n",
            "Here's to you\n",
            "    trust admiration (0.98)\n",
            "\n",
            "Raise a glass for everyone\n",
            "    trust admiration (0.95)\n",
            "\n",
            "Spare a thought this yuletide for the deprived\n",
            "    sadness grief (0.96)\n",
            "\n",
            "If the table was turned would you survive\n",
            "    anticipation vigilance (0.89)\n",
            "\n",
            "Here's to them\n",
            "    trust admiration (0.99)\n",
            "\n",
            "Underneath that burning sun\n",
            "    anger rage (0.96)\n",
            "    fear terror (0.87)\n",
            "    sadness grief (0.85)\n",
            "\n",
            "You ain't gotta feel guilt just selfless\n",
            "    trust admiration (0.64)\n",
            "\n",
            "Give a little help to the helpless\n",
            "    sadness grief (0.52)\n",
            "\n",
            "Do they know it's Christmas time at all?\n",
            "    surprise amazement (0.93)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "Let them know it's Christmas time again\n",
            "    anticipation vigilance (0.88)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "Let them know it's Christmas time again\n",
            "    anticipation vigilance (0.88)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "Let them know it's Christmas time again\n",
            "    anticipation vigilance (0.88)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "Let them know it's Christmas time again\n",
            "    anticipation vigilance (0.88)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "(Feed the world)\n",
            "    trust admiration (0.53)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "Feed the world\n",
            "    trust admiration (0.7)\n",
            "\n",
            "The Pogues - Fairytale Of New York (1988)\n",
            "\n",
            "\n",
            "It was Christmas Eve babe\n",
            "    surprise amazement (0.87)\n",
            "\n",
            "In the drunk tank\n",
            "    disgust loathing (0.76)\n",
            "\n",
            "An old man said to me, won't see another one\n",
            "    sadness grief (0.92)\n",
            "    disgust loathing (0.89)\n",
            "\n",
            "And then he sang a song\n",
            "    surprise amazement (0.69)\n",
            "\n",
            "The Rare Old Mountain Dew\n",
            "    surprise amazement (0.91)\n",
            "\n",
            "I turned my face away\n",
            "    disgust loathing (0.97)\n",
            "    fear terror (0.95)\n",
            "    sadness grief (0.92)\n",
            "\n",
            "And dreamed about you\n",
            "    trust admiration (0.98)\n",
            "    anticipation vigilance (0.89)\n",
            "    surprise amazement (0.86)\n",
            "\n",
            "Got on a lucky one\n",
            "    trust admiration (0.99)\n",
            "    surprise amazement (0.99)\n",
            "    joy ecstasy (0.93)\n",
            "\n",
            "Came in eighteen to one\n",
            "    surprise amazement (0.92)\n",
            "\n",
            "I've got a feeling\n",
            "    anticipation vigilance (0.86)\n",
            "\n",
            "This year's for me and you\n",
            "    anticipation vigilance (0.94)\n",
            "    trust admiration (0.93)\n",
            "\n",
            "So happy Christmas\n",
            "    joy ecstasy (1.0)\n",
            "\n",
            "I love you baby\n",
            "    trust admiration (0.99)\n",
            "    joy ecstasy (0.93)\n",
            "\n",
            "I can see a better time\n",
            "    anticipation vigilance (0.98)\n",
            "\n",
            "When all our dreams come true\n",
            "    surprise amazement (0.86)\n",
            "\n",
            "They've got cars big as bars\n",
            "    surprise amazement (0.93)\n",
            "    fear terror (0.9)\n",
            "\n",
            "They've got rivers of gold\n",
            "    trust admiration (0.99)\n",
            "    surprise amazement (0.96)\n",
            "    joy ecstasy (0.9)\n",
            "    anticipation vigilance (0.87)\n",
            "\n",
            "But the wind goes right through you\n",
            "    disgust loathing (1.0)\n",
            "    fear terror (0.99)\n",
            "    anger rage (0.99)\n",
            "    surprise amazement (0.98)\n",
            "    sadness grief (0.97)\n",
            "\n",
            "It's no place for the old\n",
            "    disgust loathing (0.99)\n",
            "    fear terror (0.89)\n",
            "    anticipation vigilance (0.87)\n",
            "\n",
            "When you first took my hand\n",
            "    trust admiration (0.97)\n",
            "    surprise amazement (0.93)\n",
            "\n",
            "On a cold Christmas Eve\n",
            "    surprise amazement (0.7)\n",
            "\n",
            "You promised me\n",
            "    trust admiration (0.97)\n",
            "    anticipation vigilance (0.97)\n",
            "\n",
            "Broadway was waiting for me\n",
            "    anticipation vigilance (0.96)\n",
            "\n",
            "You were handsome\n",
            "    trust admiration (1.0)\n",
            "\n",
            "You were pretty\n",
            "    trust admiration (1.0)\n",
            "    surprise amazement (0.89)\n",
            "\n",
            "Queen of New York City\n",
            "    trust admiration (0.98)\n",
            "\n",
            "When the band finished playing\n",
            "    surprise amazement (0.6)\n",
            "\n",
            "They howled out for more\n",
            "    anger rage (0.99)\n",
            "\n",
            "Sinatra was swinging\n",
            "    trust admiration (0.97)\n",
            "    anger rage (0.96)\n",
            "    surprise amazement (0.95)\n",
            "    joy ecstasy (0.85)\n",
            "\n",
            "All the drunks they were singing\n",
            "    surprise amazement (0.28)\n",
            "\n",
            "We kissed on a corner\n",
            "    surprise amazement (0.8)\n",
            "\n",
            "Then danced through the night\n",
            "    surprise amazement (0.97)\n",
            "    joy ecstasy (0.92)\n",
            "    trust admiration (0.92)\n",
            "\n",
            "The boys of the NYPD choir\n",
            "    trust admiration (0.86)\n",
            "\n",
            "Were singing Galway Bay\n",
            "    trust admiration (0.83)\n",
            "\n",
            "And the bells were ringing out\n",
            "    anticipation vigilance (0.85)\n",
            "\n",
            "For Christmas day\n",
            "    anticipation vigilance (0.93)\n",
            "\n",
            "You're a bum\n",
            "\n",
            "You're a punk\n",
            "    disgust loathing (1.0)\n",
            "    anger rage (1.0)\n",
            "    fear terror (0.95)\n",
            "\n",
            "You're an old slut on junk\n",
            "    disgust loathing (1.0)\n",
            "    anger rage (0.98)\n",
            "\n",
            "Lying there almost dead on a drip in that bed\n",
            "    sadness grief (0.97)\n",
            "    fear terror (0.96)\n",
            "    disgust loathing (0.91)\n",
            "\n",
            "You scumbag, you maggot\n",
            "    disgust loathing (1.0)\n",
            "    anger rage (1.0)\n",
            "    fear terror (0.98)\n",
            "\n",
            "You cheap lousy faggot\n",
            "    disgust loathing (1.0)\n",
            "    anger rage (1.0)\n",
            "\n",
            "Happy Christmas your arse\n",
            "    anger rage (0.92)\n",
            "\n",
            "I pray God it's our last\n",
            "    sadness grief (0.99)\n",
            "    fear terror (0.99)\n",
            "    anticipation vigilance (0.98)\n",
            "\n",
            "The boys of the NYPD choir\n",
            "    trust admiration (0.86)\n",
            "\n",
            "Still singing Galway Bay\n",
            "    trust admiration (0.8)\n",
            "\n",
            "And the bells are ringing out\n",
            "    anticipation vigilance (0.94)\n",
            "\n",
            "For Christmas day\n",
            "    anticipation vigilance (0.93)\n",
            "\n",
            "I could have been someone\n",
            "    anticipation vigilance (0.84)\n",
            "\n",
            "Well so could anyone\n",
            "    surprise amazement (0.87)\n",
            "\n",
            "You took my dreams from me\n",
            "    sadness grief (0.99)\n",
            "    disgust loathing (0.99)\n",
            "    anger rage (0.98)\n",
            "    fear terror (0.93)\n",
            "\n",
            "When I first found you\n",
            "    surprise amazement (0.98)\n",
            "    trust admiration (0.98)\n",
            "\n",
            "I kept them with me babe\n",
            "    anticipation vigilance (0.95)\n",
            "    trust admiration (0.94)\n",
            "\n",
            "I put them with my own\n",
            "    anticipation vigilance (0.62)\n",
            "\n",
            "Can't make it all alone\n",
            "    anticipation vigilance (0.99)\n",
            "    sadness grief (0.86)\n",
            "\n",
            "I've built my dreams around you\n",
            "    trust admiration (0.99)\n",
            "    anticipation vigilance (0.85)\n",
            "\n",
            "The boys of the NYPD choir\n",
            "    trust admiration (0.86)\n",
            "\n",
            "Still singing Galway Bay\n",
            "    trust admiration (0.8)\n",
            "\n",
            "And the bells are ringing out\n",
            "    anticipation vigilance (0.94)\n",
            "\n",
            "For Christmas day\n",
            "    anticipation vigilance (0.93)\n",
            "\n",
            "Michael Bublé - Santa Claus Is Coming To Town (2011)\n",
            "\n",
            "\n",
            "You better watch out\n",
            "    anticipation vigilance (1.0)\n",
            "    fear terror (1.0)\n",
            "    anger rage (0.98)\n",
            "\n",
            "You better not cry\n",
            "    anticipation vigilance (1.0)\n",
            "    fear terror (0.98)\n",
            "    disgust loathing (0.92)\n",
            "\n",
            "You better not pout\n",
            "    anticipation vigilance (0.99)\n",
            "\n",
            "I'm telling you why\n",
            "    anticipation vigilance (0.73)\n",
            "\n",
            "Santa Claus is coming to town\n",
            "    anticipation vigilance (0.95)\n",
            "\n",
            "He's making a list,\n",
            "    anticipation vigilance (0.81)\n",
            "\n",
            "He's checking it twice,\n",
            "    anticipation vigilance (0.99)\n",
            "\n",
            "He's gonna find out who's naughty or nice\n",
            "    anticipation vigilance (1.0)\n",
            "\n",
            "Santa Claus is coming to town\n",
            "    anticipation vigilance (0.95)\n",
            "\n",
            "He sees you when you're sleeping\n",
            "    anticipation vigilance (0.86)\n",
            "\n",
            "And he knows when you're awake\n",
            "    anticipation vigilance (0.89)\n",
            "\n",
            "He knows if you've been bad or good\n",
            "    trust admiration (0.76)\n",
            "\n",
            "So be good for goodness sake\n",
            "    anticipation vigilance (0.99)\n",
            "\n",
            "You better watch out!\n",
            "    anticipation vigilance (1.0)\n",
            "    fear terror (1.0)\n",
            "    anger rage (0.99)\n",
            "\n",
            "You better not cry\n",
            "    anticipation vigilance (1.0)\n",
            "    fear terror (0.98)\n",
            "    disgust loathing (0.92)\n",
            "\n",
            "You better not pout, I'm telling you why\n",
            "    anticipation vigilance (0.98)\n",
            "    fear terror (0.93)\n",
            "    anger rage (0.93)\n",
            "    disgust loathing (0.88)\n",
            "\n",
            "'Cause Santa Claus is coming to town\n",
            "    anticipation vigilance (0.98)\n",
            "\n",
            "Oh let's go!\n",
            "\n",
            "He sees you when you're sleeping\n",
            "    anticipation vigilance (0.86)\n",
            "\n",
            "And he knows when you're awake\n",
            "    anticipation vigilance (0.89)\n",
            "\n",
            "He knows if you've been bad or good\n",
            "    trust admiration (0.76)\n",
            "\n",
            "So be good for goodness sake\n",
            "    anticipation vigilance (0.99)\n",
            "\n",
            "You better watch out!\n",
            "    anticipation vigilance (1.0)\n",
            "    fear terror (1.0)\n",
            "    anger rage (0.99)\n",
            "\n",
            "You better not cry\n",
            "    anticipation vigilance (1.0)\n",
            "    fear terror (0.98)\n",
            "    disgust loathing (0.92)\n",
            "\n",
            "You better not pout, I'm telling you why\n",
            "    anticipation vigilance (0.98)\n",
            "    fear terror (0.93)\n",
            "    anger rage (0.93)\n",
            "    disgust loathing (0.88)\n",
            "\n",
            "Santa Claus is coming to town\n",
            "    anticipation vigilance (0.95)\n",
            "\n",
            "You better watch out!\n",
            "    anticipation vigilance (1.0)\n",
            "    fear terror (1.0)\n",
            "    anger rage (0.99)\n",
            "\n",
            "You better not cry\n",
            "    anticipation vigilance (1.0)\n",
            "    fear terror (0.98)\n",
            "    disgust loathing (0.92)\n",
            "\n",
            "You better not pout, I'm telling you why\n",
            "    anticipation vigilance (0.98)\n",
            "    fear terror (0.93)\n",
            "    anger rage (0.93)\n",
            "    disgust loathing (0.88)\n",
            "\n",
            "Santa Claus is coming\n",
            "    anticipation vigilance (0.98)\n",
            "    trust admiration (0.86)\n",
            "\n",
            "I mean the big fat man with the long white beard\n",
            "    surprise amazement (0.79)\n",
            "\n",
            "Is coming to town\n",
            "    anticipation vigilance (0.96)\n",
            "\n",
            "Chris Rea - Driving Home For Christmas (1986)\n",
            "\n",
            "\n",
            "I'm driving home for Christmas\n",
            "    anticipation vigilance (0.62)\n",
            "\n",
            "Oh, I can't wait to see those faces\n",
            "    surprise amazement (0.96)\n",
            "    joy ecstasy (0.95)\n",
            "    trust admiration (0.94)\n",
            "    anticipation vigilance (0.92)\n",
            "\n",
            "I'm driving home for Christmas, yea\n",
            "    anticipation vigilance (0.79)\n",
            "\n",
            "Well I'm moving down that line\n",
            "    anticipation vigilance (0.91)\n",
            "\n",
            "And it's been so long\n",
            "    sadness grief (0.9)\n",
            "\n",
            "But I will be there\n",
            "    anticipation vigilance (0.98)\n",
            "\n",
            "I sing this song\n",
            "    trust admiration (0.47)\n",
            "\n",
            "To pass the time away\n",
            "    trust admiration (0.01)\n",
            "\n",
            "Driving in my car\n",
            "    anticipation vigilance (0.72)\n",
            "\n",
            "Driving home for Christmas\n",
            "    anticipation vigilance (0.75)\n",
            "\n",
            "It's gonna take some time\n",
            "    anticipation vigilance (0.97)\n",
            "\n",
            "But I'll get there\n",
            "    anticipation vigilance (0.99)\n",
            "\n",
            "Top to toe in tailbacks\n",
            "    trust admiration (0.9)\n",
            "    surprise amazement (0.86)\n",
            "\n",
            "Oh, I got red lights on the run\n",
            "    anticipation vigilance (0.99)\n",
            "    fear terror (0.98)\n",
            "    anger rage (0.94)\n",
            "\n",
            "But soon there'll be a freeway yeah\n",
            "    anticipation vigilance (0.97)\n",
            "\n",
            "Get my feet on holy ground\n",
            "    anticipation vigilance (0.98)\n",
            "    trust admiration (0.88)\n",
            "\n",
            "So I sing for you\n",
            "    trust admiration (0.97)\n",
            "\n",
            "Though you can't hear me\n",
            "    sadness grief (0.51)\n",
            "\n",
            "When I get trough\n",
            "    anticipation vigilance (0.87)\n",
            "\n",
            "And feel you near me\n",
            "    anticipation vigilance (0.96)\n",
            "    trust admiration (0.94)\n",
            "\n",
            "Driving in my car\n",
            "    anticipation vigilance (0.72)\n",
            "\n",
            "I'm driving home for Christmas\n",
            "    anticipation vigilance (0.62)\n",
            "\n",
            "Driving home for Christmas\n",
            "    anticipation vigilance (0.75)\n",
            "\n",
            "With a thousand memories\n",
            "    trust admiration (0.82)\n",
            "\n",
            "I take look at the driver next to me\n",
            "    anticipation vigilance (0.79)\n",
            "\n",
            "He's just the same\n",
            "    trust admiration (0.67)\n",
            "\n",
            "Just the same\n",
            "    trust admiration (0.87)\n",
            "\n",
            "Top to toe in tailbacks\n",
            "    trust admiration (0.9)\n",
            "    surprise amazement (0.86)\n",
            "\n",
            "Oh, I got red lights all around\n",
            "    anticipation vigilance (0.99)\n",
            "    fear terror (0.98)\n",
            "    anger rage (0.97)\n",
            "    disgust loathing (0.94)\n",
            "    surprise amazement (0.85)\n",
            "\n",
            "I'm driving home for Christmas, yea\n",
            "    anticipation vigilance (0.79)\n",
            "\n",
            "Get my feet on holy ground\n",
            "    anticipation vigilance (0.98)\n",
            "    trust admiration (0.88)\n",
            "\n",
            "So I sing for you\n",
            "    trust admiration (0.97)\n",
            "\n",
            "Though you can't hear me\n",
            "    sadness grief (0.51)\n",
            "\n",
            "When I get trough\n",
            "    anticipation vigilance (0.87)\n",
            "\n",
            "Oh and feel you near me\n",
            "    anticipation vigilance (0.97)\n",
            "    trust admiration (0.9)\n",
            "\n",
            "Driving in my car\n",
            "    anticipation vigilance (0.72)\n",
            "\n",
            "Driving home for Christmas\n",
            "    anticipation vigilance (0.75)\n",
            "\n",
            "Driving home for Christmas\n",
            "    anticipation vigilance (0.75)\n",
            "\n",
            "With a thousand memories\n",
            "    trust admiration (0.82)\n",
            "\n",
            "I take look at the driver next to me\n",
            "    anticipation vigilance (0.79)\n",
            "\n",
            "He's just the same\n",
            "    trust admiration (0.67)\n",
            "\n",
            "He's driving home, driving home\n",
            "    anticipation vigilance (0.74)\n",
            "\n",
            "Driving home for Christmas\n",
            "    anticipation vigilance (0.75)\n",
            "\n",
            "Driving home for Christmas\n",
            "    anticipation vigilance (0.75)\n",
            "\n",
            "Shakin' Stevens - Merry Christmas Everyone (1985)\n",
            "\n",
            "\n",
            "Snow is falling\n",
            "    surprise amazement (0.78)\n",
            "\n",
            "All around me\n",
            "    surprise amazement (0.89)\n",
            "    anticipation vigilance (0.86)\n",
            "    fear terror (0.85)\n",
            "\n",
            "Children playing\n",
            "    joy ecstasy (0.73)\n",
            "\n",
            "Having fun\n",
            "\n",
            "\n",
            "\n",
            "It's the season\n",
            "    anticipation vigilance (0.94)\n",
            "\n",
            "Love and understanding\n",
            "    trust admiration (0.98)\n",
            "\n",
            "Merry Christmas everyone\n",
            "    joy ecstasy (0.96)\n",
            "\n",
            "\n",
            "\n",
            "Time for parties and celebration\n",
            "    joy ecstasy (0.86)\n",
            "\n",
            "People dancing all night long\n",
            "    surprise amazement (0.9)\n",
            "\n",
            "Time for presents\n",
            "    anticipation vigilance (0.31)\n",
            "\n",
            "And exchanging kisses\n",
            "    surprise amazement (0.72)\n",
            "\n",
            "Time for singing Christmas songs\n",
            "    joy ecstasy (0.5)\n",
            "\n",
            "\n",
            "\n",
            "We're gonna have a party tonight\n",
            "    anticipation vigilance (0.87)\n",
            "\n",
            "I'm gonna find that girl underneath the mistletoe\n",
            "    anticipation vigilance (0.99)\n",
            "\n",
            "We'll kiss by candlelight\n",
            "    anticipation vigilance (0.76)\n",
            "\n",
            "\n",
            "\n",
            "Room is swaying, records playing\n",
            "    surprise amazement (0.76)\n",
            "\n",
            "All the old songs, we love to hear\n",
            "    trust admiration (0.98)\n",
            "\n",
            "All I wish that everyday was Christmas\n",
            "    joy ecstasy (0.75)\n",
            "\n",
            "What a nice way to spend the year\n",
            "    trust admiration (0.98)\n",
            "    surprise amazement (0.97)\n",
            "    joy ecstasy (0.93)\n",
            "\n",
            "\n",
            "\n",
            "We're gonna have a party tonight\n",
            "    anticipation vigilance (0.87)\n",
            "\n",
            "I'm gonna find that girl underneath the mistletoe\n",
            "    anticipation vigilance (0.99)\n",
            "\n",
            "We'll kiss by candlelight\n",
            "    anticipation vigilance (0.76)\n",
            "\n",
            "\n",
            "\n",
            "Snow is falling\n",
            "    surprise amazement (0.78)\n",
            "\n",
            "All around me\n",
            "    surprise amazement (0.89)\n",
            "    anticipation vigilance (0.86)\n",
            "    fear terror (0.85)\n",
            "\n",
            "Children playing\n",
            "    joy ecstasy (0.73)\n",
            "\n",
            "Having fun\n",
            "\n",
            "It's the season\n",
            "    anticipation vigilance (0.94)\n",
            "\n",
            "Love and understanding\n",
            "    trust admiration (0.98)\n",
            "\n",
            "Merry Christmas everyone\n",
            "    joy ecstasy (0.96)\n",
            "\n",
            "Merry Christmas everyone\n",
            "    joy ecstasy (0.96)\n",
            "\n",
            "\n",
            "\n",
            "Ooh merry Christmas everyone\n",
            "    joy ecstasy (1.0)\n",
            "\n",
            "\n",
            "\n",
            "Snow is falling\n",
            "    surprise amazement (0.78)\n",
            "\n",
            "All around me\n",
            "    surprise amazement (0.89)\n",
            "    anticipation vigilance (0.86)\n",
            "    fear terror (0.85)\n",
            "\n",
            "Children playing\n",
            "    joy ecstasy (0.73)\n",
            "\n",
            "Having fun\n",
            "\n",
            "It's the season\n",
            "    anticipation vigilance (0.94)\n",
            "\n",
            "Love and understanding\n",
            "    trust admiration (0.98)\n",
            "\n",
            "Merry Christmas everyone\n",
            "    joy ecstasy (0.96)\n",
            "\n",
            "\n",
            "\n",
            "Snow is falling\n",
            "    surprise amazement (0.78)\n",
            "\n",
            "All around me\n",
            "    surprise amazement (0.89)\n",
            "    anticipation vigilance (0.86)\n",
            "    fear terror (0.85)\n",
            "\n",
            "Children playing\n",
            "    joy ecstasy (0.73)\n",
            "\n",
            "Having fun\n",
            "\n",
            "It's the season\n",
            "    anticipation vigilance (0.94)\n",
            "\n",
            "Love and understanding\n",
            "    trust admiration (0.98)\n",
            "\n",
            "Merry Christmas everyone\n",
            "    joy ecstasy (0.96)\n",
            "\n",
            "\n",
            "\n",
            "Snow is falling\n",
            "    surprise amazement (0.78)\n",
            "\n",
            "All around me\n",
            "    surprise amazement (0.89)\n",
            "    anticipation vigilance (0.86)\n",
            "    fear terror (0.85)\n",
            "\n",
            "Children playing\n",
            "    joy ecstasy (0.73)\n",
            "\n",
            "Having fun\n",
            "\n",
            "It's the season\n",
            "    anticipation vigilance (0.94)\n",
            "\n",
            "Love and understanding\n",
            "    trust admiration (0.98)\n",
            "\n",
            "Merry Christmas everyone\n",
            "    joy ecstasy (0.96)\n",
            "\n",
            "Merry Christmas everyone\n",
            "    joy ecstasy (0.96)\n",
            "\n",
            "Merry Christmas everyone\n",
            "    joy ecstasy (0.96)\n",
            "\n",
            "The Jackson 5 - I Saw Mommy Kissing Santa Claus (1970)\n",
            "\n",
            "\n",
            "Wow! Mommy's kissing Santa Claus!\n",
            "    surprise amazement (1.0)\n",
            "    trust admiration (0.99)\n",
            "    joy ecstasy (0.98)\n",
            "    anticipation vigilance (0.96)\n",
            "\n",
            "I saw Mommy kissing Santa Claus (kissing, kissing Santa Claus)\n",
            "    surprise amazement (0.95)\n",
            "    trust admiration (0.93)\n",
            "\n",
            "Underneath the mistletoe last night\n",
            "    surprise amazement (0.84)\n",
            "\n",
            "She didn't see me creep\n",
            "    surprise amazement (0.78)\n",
            "\n",
            "Down the stairs to have a peep\n",
            "    anticipation vigilance (0.99)\n",
            "\n",
            "She thought that I was tucked up\n",
            "    anticipation vigilance (0.71)\n",
            "\n",
            "In my bedroom, fast asleep\n",
            "    trust admiration (0.06)\n",
            "\n",
            "Then I saw Mommy tickle Santa Claus (tickle, tickle, Santa Claus)\n",
            "    surprise amazement (0.95)\n",
            "    trust admiration (0.89)\n",
            "\n",
            "Underneath his beard so snowy white\n",
            "    surprise amazement (0.84)\n",
            "\n",
            "Oh, what a laugh it would have been\n",
            "    surprise amazement (0.87)\n",
            "\n",
            "If daddy had only seen\n",
            "    surprise amazement (0.97)\n",
            "    sadness grief (0.95)\n",
            "    fear terror (0.87)\n",
            "    anger rage (0.85)\n",
            "\n",
            "Mommy kissing Santa Claus last night\n",
            "    surprise amazement (0.93)\n",
            "    trust admiration (0.9)\n",
            "\n",
            "He saw Mommy kissing (kissing, kissing) Santa Claus\n",
            "    surprise amazement (0.94)\n",
            "\n",
            "I did! I really did see Mommy kissing Santa Claus\n",
            "    surprise amazement (1.0)\n",
            "    trust admiration (0.97)\n",
            "    anticipation vigilance (0.9)\n",
            "    joy ecstasy (0.89)\n",
            "\n",
            "And I'm gonna tell my dad\n",
            "    anticipation vigilance (0.96)\n",
            "\n",
            "Then I saw Mommy tickle Santa Claus (tickle, tickle Santa Claus)\n",
            "    surprise amazement (0.95)\n",
            "    trust admiration (0.87)\n",
            "\n",
            "Underneath his beard so snowy white\n",
            "    surprise amazement (0.84)\n",
            "\n",
            "Oh, what a laugh it would have been\n",
            "    surprise amazement (0.87)\n",
            "\n",
            "If daddy had only seen\n",
            "    surprise amazement (0.97)\n",
            "    sadness grief (0.95)\n",
            "    fear terror (0.87)\n",
            "    anger rage (0.85)\n",
            "\n",
            "Mommy kissing Santa Claus last night\n",
            "    surprise amazement (0.93)\n",
            "    trust admiration (0.9)\n",
            "\n",
            "Oh, what a laugh it would have been\n",
            "    surprise amazement (0.87)\n",
            "\n",
            "If daddy had only seen\n",
            "    surprise amazement (0.97)\n",
            "    sadness grief (0.95)\n",
            "    fear terror (0.87)\n",
            "    anger rage (0.85)\n",
            "\n",
            "Mommy kissing Santa Claus last night\n",
            "    surprise amazement (0.93)\n",
            "    trust admiration (0.9)\n",
            "\n",
            "I did! I did! I really did see Mommy kissing Santa Claus\n",
            "    surprise amazement (1.0)\n",
            "    joy ecstasy (0.98)\n",
            "    trust admiration (0.96)\n",
            "    anticipation vigilance (0.88)\n",
            "\n",
            "You gotta believe me! You just gotta believe me!\n",
            "    surprise amazement (0.94)\n",
            "    anticipation vigilance (0.93)\n",
            "    anger rage (0.87)\n",
            "\n",
            "Come on, fellas, believe me!\n",
            "    anticipation vigilance (0.99)\n",
            "    trust admiration (0.87)\n",
            "\n",
            "You just gotta believe me!\n",
            "    anticipation vigilance (0.82)\n",
            "\n",
            "Come on, you gotta believe me!\n",
            "    anticipation vigilance (0.98)\n",
            "\n",
            "John Lennon, Yoko Ono - Happy Xmas (War Is Over) (1971)\n",
            "\n",
            "\n",
            "So this is Christmas\n",
            "    surprise amazement (0.88)\n",
            "\n",
            "And what have you done\n",
            "    surprise amazement (0.88)\n",
            "\n",
            "Another year over\n",
            "    sadness grief (0.83)\n",
            "\n",
            "A new one just begun\n",
            "    anticipation vigilance (0.96)\n",
            "    surprise amazement (0.88)\n",
            "\n",
            "And so this is Christmas\n",
            "    joy ecstasy (0.69)\n",
            "\n",
            "I hope you have fun\n",
            "    joy ecstasy (0.38)\n",
            "\n",
            "The near and the dear ones\n",
            "    trust admiration (0.94)\n",
            "\n",
            "The old and the young\n",
            "    trust admiration (0.76)\n",
            "\n",
            "A very merry Christmas\n",
            "    joy ecstasy (1.0)\n",
            "\n",
            "And a happy New Year\n",
            "    joy ecstasy (0.96)\n",
            "\n",
            "Let's hope it's a good one\n",
            "    anticipation vigilance (0.99)\n",
            "    trust admiration (0.9)\n",
            "\n",
            "Without any fears\n",
            "    trust admiration (0.9)\n",
            "\n",
            "And so this is Christmas\n",
            "    joy ecstasy (0.69)\n",
            "\n",
            "For weak and for strong\n",
            "    anticipation vigilance (0.92)\n",
            "\n",
            "The rich and the poor ones\n",
            "    anticipation vigilance (0.57)\n",
            "\n",
            "The war is so long\n",
            "    sadness grief (0.76)\n",
            "\n",
            "And so happy Christmas\n",
            "    joy ecstasy (1.0)\n",
            "\n",
            "For black and for white\n",
            "    anticipation vigilance (0.84)\n",
            "\n",
            "For yellow and red ones\n",
            "    anticipation vigilance (0.81)\n",
            "\n",
            "Let's stop all the fights\n",
            "    anticipation vigilance (0.43)\n",
            "\n",
            "A very merry Christmas\n",
            "    joy ecstasy (1.0)\n",
            "\n",
            "And a happy New Year\n",
            "    joy ecstasy (0.96)\n",
            "\n",
            "Let's hope it's a good one\n",
            "    anticipation vigilance (0.99)\n",
            "    trust admiration (0.9)\n",
            "\n",
            "Without any fears\n",
            "    trust admiration (0.9)\n",
            "\n",
            "And so this is Christmas\n",
            "    joy ecstasy (0.69)\n",
            "\n",
            "And what have we done\n",
            "    surprise amazement (0.89)\n",
            "\n",
            "Another year over\n",
            "    sadness grief (0.83)\n",
            "\n",
            "A new one just begun\n",
            "    anticipation vigilance (0.96)\n",
            "    surprise amazement (0.88)\n",
            "\n",
            "And so happy Christmas…\n",
            "    joy ecstasy (1.0)\n",
            "\n",
            "The Pretenders - 2000 Miles (1983)\n",
            "\n",
            "\n",
            "She's gone 2000 miles, it's very far\n",
            "    surprise amazement (0.73)\n",
            "\n",
            "The snow came down\n",
            "    surprise amazement (0.8)\n",
            "\n",
            "Get's colder day by day, I miss her\n",
            "    sadness grief (1.0)\n",
            "\n",
            "I hear children singing\n",
            "    joy ecstasy (0.74)\n",
            "\n",
            "It felt like Christmas time\n",
            "    joy ecstasy (0.99)\n",
            "    surprise amazement (0.98)\n",
            "    anticipation vigilance (0.96)\n",
            "    trust admiration (0.85)\n",
            "\n",
            "In these frozen and silent nights\n",
            "    sadness grief (0.84)\n",
            "\n",
            "Sometimes in a dream, you appear\n",
            "    surprise amazement (0.6)\n",
            "\n",
            "Outside under the purple sky\n",
            "    surprise amazement (0.76)\n",
            "\n",
            "Diamonds in the snow sparkle\n",
            "    surprise amazement (0.96)\n",
            "    trust admiration (0.96)\n",
            "\n",
            "And our hearts were singing\n",
            "    joy ecstasy (1.0)\n",
            "    trust admiration (0.97)\n",
            "\n",
            "It felt like Christmas time\n",
            "    joy ecstasy (0.99)\n",
            "    surprise amazement (0.98)\n",
            "    anticipation vigilance (0.96)\n",
            "    trust admiration (0.85)\n",
            "\n",
            "2000 miles is very far through the snow\n",
            "    anticipation vigilance (0.78)\n",
            "\n",
            "I think of you wherever you go\n",
            "    trust admiration (0.99)\n",
            "    anticipation vigilance (0.92)\n",
            "\n",
            "2000 miles is very far through the snow\n",
            "    anticipation vigilance (0.78)\n",
            "\n",
            "I think of you wherever you go\n",
            "    trust admiration (0.99)\n",
            "    anticipation vigilance (0.92)\n",
            "\n",
            "She's gone 2000 miles, it's very far\n",
            "    surprise amazement (0.73)\n",
            "\n",
            "The snow came falling now\n",
            "    surprise amazement (0.85)\n",
            "\n",
            "Get's colder day by day, I miss you\n",
            "    sadness grief (1.0)\n",
            "\n",
            "I hear people singing\n",
            "    joy ecstasy (0.77)\n",
            "\n",
            "It felt like Christmas time\n",
            "    joy ecstasy (0.99)\n",
            "    surprise amazement (0.98)\n",
            "    anticipation vigilance (0.96)\n",
            "    trust admiration (0.85)\n",
            "\n",
            "I hear people singing\n",
            "    joy ecstasy (0.77)\n",
            "\n",
            "It felt like Christmas time\n",
            "    joy ecstasy (0.99)\n",
            "    surprise amazement (0.98)\n",
            "    anticipation vigilance (0.96)\n",
            "    trust admiration (0.85)\n",
            "\n",
            "I hear people singing\n",
            "    joy ecstasy (0.77)\n",
            "\n",
            "It felt like Christmas time\n",
            "    joy ecstasy (0.99)\n",
            "    surprise amazement (0.98)\n",
            "    anticipation vigilance (0.96)\n",
            "    trust admiration (0.85)\n",
            "\n",
            "I hear people singing\n",
            "    joy ecstasy (0.77)\n",
            "\n",
            "It felt like Christmas time\n",
            "    joy ecstasy (0.99)\n",
            "    surprise amazement (0.98)\n",
            "    anticipation vigilance (0.96)\n",
            "    trust admiration (0.85)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
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              "      label.textContent = `Downloading \"${filename}\": `;\n",
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              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "download(\"download_d13cce33-8673-42a2-99b9-d0cae18d002d\", \"songlabels.csv\", 47344)"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n",
            "DATA EXPORTED!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PGXwxxyn9nOC"
      },
      "source": [
        "To do multi-class classification, simply pass `multi_class=True`. In this case, the scores will be independent, but each will fall between 0 and 1."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lLLeDT1r9-yQ"
      },
      "source": [
        "Here's an example of sentiment classification: "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uSoBpCpV6k4s"
      },
      "source": [
        "So how does this method work?\n",
        "\n",
        "The underlying model is trained on the task of Natural Language Inference (NLI), which takes in two sequences and determines whether they contradict each other, entail each other, or neither.\n",
        "\n",
        "This can be adapted to the task of zero-shot classification by treating the sequence which we want to classify as one NLI sequence (called the premise) and turning a candidate label into the other (the hypothesis). If the model predicts that the constructed premise _entails_ the hypothesis, then we can take that as a prediction that the label applies to the text. Check out [this blog post](https://joeddav.github.io/blog/2020/05/29/ZSL.html) for a more detailed explanation.\n",
        "\n",
        "By default, the pipeline turns labels into hypotheses with the template `This example is {class_name}.`. This works well in many settings, but you can also customize this for your specific setting. Let's add another review to our above sentiment classification example that's a bit more challenging:"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CfrpyGWM782R"
      },
      "source": [
        "The second example is a bit harder. Let's see if we can improve the results by using a hypothesis template which is more specific to the setting of review sentiment analysis. Instead of the default, `This example is {}.`, we'll use, `The sentiment of this review is {}.` (where `{}` is replaced with the candidate class name)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OQyVNE2fTDVs"
      },
      "source": [
        "The model is fine-tuned on XNLI which includes 15 languages: Arabic, Bulgarian, Chinese, English, French, German, Greek, Hindi, Russian, Spanish, Swahili, Thai, Turkish, Urdu, and Vietnamese. The base model is trained on 85 more, so the model will work to some degree for any of those in the XLM RoBERTa training corpus (see the full list in appendix A of the [XLM Roberata paper](https://arxiv.org/abs/1911.02116)).\n",
        "\n",
        "See the [model page](https://huggingface.co/joeddav/xlm-roberta-large-xnli) for more."
      ]
    }
  ]
}