2.e.republica_nmf.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pickle\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from nltk.corpus import stopwords\n",
    "from sklearn.feature_extraction.stop_words import ENGLISH_STOP_WORDS\n",
    "from sklearn.decomposition import NMF\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer\n",
    "from sklearn.cluster import KMeans\n",
    "import seaborn as sns\n",
    "import datetime as datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "import calendar\n",
    "from collections import Counter\n",
    "import nltk\n",
    "% matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n",
    "# Download Data\n",
    "raw_republica = pd.read_pickle('news_dfs/la_republica_final_df.pkl')\n",
    "\n",
    "# Get rid of September\n",
    "republica = raw_republica[(raw_republica.year == 2016) & (raw_republica.month != 9)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Topic Modeling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Spanish Stop Words\n",
    "stopwords = nltk.corpus.stopwords.words('spanish')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Vectorize Data\n",
    "tfidf_vectorizer = TfidfVectorizer(max_df = 0.4, min_df = 15,\n",
    "                                   stop_words = stopwords)\n",
    "tfidf = tfidf_vectorizer.fit_transform(republica.article)\n",
    "tfidf_feature_names = tfidf_vectorizer.get_feature_names()\n",
    "\n",
    "# NMF\n",
    "nmf = NMF(n_components = 40, random_state=1, alpha=.1, l1_ratio=.5).fit(tfidf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def print_top_words(model, feature_names, n_top_words):\n",
    "    for topic_idx, topic in enumerate(model.components_):\n",
    "        print(\"Topic:\" + str(int(topic_idx)+1))\n",
    "        print(\" \".join([feature_names[i]\n",
    "                        for i in topic.argsort()[:-n_top_words - 1:-1]]))\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3879"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transformed_data = nmf.transform(tfidf)\n",
    "len(transformed_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Top Words Per Topic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Topic:1\n",
      "anos facebook mujer segun ser joven habia luego hombre dos si vida tras sido personas dijo tambien solo despues puede\n",
      "Topic:2\n",
      "rousseff temer dilma juicio politico senado presidenta proceso brasil destitucion diputados camara michel cargo mandataria gobierno cunha presidente si brasileno\n",
      "Topic:3\n",
      "trump clinton sanders donald democrata hillary republicano partido delegados primarias candidato campana senador bernie nominacion magnate republicanos convencion elecciones presidencial\n",
      "Topic:4\n",
      "maduro venezuela nicolas oposicion revocatorio referendo nacional capriles electoral firmas presidente gobierno venezolano asamblea pais ramos cne mud opositora caracas\n",
      "Topic:5\n",
      "siria alepo sirio observatorio bombardeos humanos rebeldes derechos guerra fuerzas damasco regimen ataques onu rusia ciudad humanitaria bombardeo civiles bashar\n",
      "Topic:6\n",
      "youtube video imagenes ve hombre muestra usuarios observa conductor vehiculo escena reproducciones hecho auto mujer subido viral grabacion clip luego\n",
      "Topic:7\n",
      "js id facebook fjs by if script getelementbyid document createelement function parentnode getelementsbytagname insertbefore var src posted connect v2 net\n",
      "Topic:8\n",
      "chapo guzman joaquin sinaloa castillo narcotraficante mexico kate cartel extradicion penn actriz capo mexicano altiplano unidos mexicana captura seguridad loera\n",
      "Topic:9\n",
      "morales evo bolivia boliviano mandatario presidente bolivianos reeleccion referendo pais gobierno boliviana paz referendum periodista dijo 2019 si febrero cnn\n",
      "Topic:10\n",
      "obama barack presidente unidos blanca casa mandatario estadounidense visita michelle vietnam ee uu armas washington nuclear cumbre dijo pais congreso\n",
      "Topic:11\n",
      "terremoto ecuador grados sismo magnitud richter kilometros replicas escala epicentro correa tsunami muertos sacudio danos escombros rafael telurico movimiento alerta\n",
      "Topic:12\n",
      "francisco papa iglesia mexico pontifice vaticano misa visita catolica sumo fieles san encuentro dios basilica ii bergoglio roma pablo jovenes\n",
      "Topic:13\n",
      "reino unido europea ue union brexit referendum cameron salida britanicos europa bloque ministro permanencia londres britanico primer bretana abandonar david\n",
      "Topic:14\n",
      "zika virus casos microcefalia mosquito salud bebes aedes enfermedad embarazadas oms aegypti brasil mujeres enfermedades paises nacidos sintomas prevencion emergencia\n",
      "Topic:15\n",
      "rajoy psoe espana sanchez partido pp podemos mariano gobierno investidura elecciones socialista rey formar pedro espanol lider escanos iglesias ciudadanos\n",
      "Topic:16\n",
      "bruselas atentados aeropuerto belgica paris abdeslam belga terroristas francia salah ataques metro terrorista belgas sospechoso explosivos martes atentado estacion fiscalia\n",
      "Topic:17\n",
      "twitter 2016 pic com the to of in co https julio febrero redes and enero marzo sociales on foto imagen\n",
      "Topic:18\n",
      "corea norte nuclear kim misiles jong bomba lanzamiento pyongyang sur prueba misil sanciones nucleares alcance japon onu regimen peninsula internacional\n",
      "Topic:19\n",
      "golpe turquia erdogan turco gulen militares intento ankara estambul fallido recep tayyip golpistas ejercito militar islamista gobierno fethullah turcas presidente\n",
      "Topic:20\n",
      "lula silva da brasil petrobras rousseff expresidente luiz inacio corrupcion dilma pt paulo sao juez ex partido fiscalia federal nombramiento\n",
      "Topic:21\n",
      "chile silala aguas bolivia demanda chileno internacional bachelet rio pais munoz cij uso canciller corte chilena michelle anuncio mar chilenos\n",
      "Topic:22\n",
      "farc santos paz colombia manuel acuerdo juan colombiano gobierno guerrilla habana cese conflicto guerrilleros proceso fuego colombianos fin revolucionarias armado\n",
      "Topic:23\n",
      "refugiados turquia inmigrantes grecia frontera europa migrantes alemania egeo embarcacion asilo personas merkel sirios mediterraneo isla mar 000 europea naufragio\n",
      "Topic:24\n",
      "nino madre menor pequeno bebe hijo padres anos padre vida edad nina medicos hija hospital animal nacido zoologico brazos apenas\n",
      "Topic:25\n",
      "fernandez cristina kirchner juez fiscal expresidenta argentina ex federal causa bonadio nestor lopez 2007 dinero justicia lavado obras investiga banco\n",
      "Topic:26\n",
      "policia dallas agentes policias tiroteo johnson matanza violencia hombre blancos abatido policial agente sospechoso texas ataque unidos sujeto brown dos\n",
      "Topic:27\n",
      "zapata gabriela morales expareja hijo nino influencias evo jueza enriquecimiento 2007 contratos trafico ilicito supuesto vivo preventiva paz china habia\n",
      "Topic:28\n",
      "oea almagro venezuela secretario general luis carta democratica americanos organizacion sesion permanente organismo consejo crisis paises maduro uruguayo interamericana situacion\n",
      "Topic:29\n",
      "avion aeropuerto vuelo pasajeros aeronave bordo aerolinea air cairo aterrizar restos egipto mediterraneo tripulantes aereo piloto 66 incidente rusia vuelos\n",
      "Topic:30\n",
      "atentado heridos personas ataque suicida menos muertos explosion heridas murieron resultaron bomba zona afganistan dos victimas dejo ciudad segun seguridad\n",
      "Topic:31\n",
      "ninos menores abusos padres abuso escuela infantil sexual ser sexuales sexualmente informe mil victimas adolescentes edad escuelas casos menos escolares\n",
      "Topic:32\n",
      "juegos rio olimpicos janeiro brasil inauguracion 2016 estadio sede seguridad interino brasilena michel agosto sao brasilenos turistas evento temer inteligencia\n",
      "Topic:33\n",
      "hernandez eln ejercito liberacion periodista periodistas salud zona espanola secuestro mora guerrilla secuestrados carlos diego reporteros libertad santos region colombia\n",
      "Topic:34\n",
      "planeta nasa tierra solar espacial orbita cientificos sistema sol nave espacio mision superficie brown global puede observatorio teoria transmision existencia\n",
      "Topic:35\n",
      "pokemon go juego aplicacion realidad jovenes jugar capturar sudamerica julio minas celulares usuarios maestros tragedia japon celular peligro puede delincuentes\n",
      "Topic:36\n",
      "macri argentina mauricio argentino presidente gobierno panama buenos aires documentos offshore diputada dictadura argentinos papers mandatario mossack fonseca islas impuestos\n",
      "Topic:37\n",
      "islamico grupo ei terrorista yihadistas terroristas irak isis ciudad yihadista siria ataque fuerzas atentado iraquies ataques bagdad iraqui miembros rehenes\n",
      "Topic:38\n",
      "dolares millones 000 dinero empresa odebrecht pesos mil compania euros banco valor ano 100 empresas pago ex pagar menos petrobras\n",
      "Topic:39\n",
      "cuba castro isla habana raul visita cubano cubanos fidel obama relaciones paises presidente historica marzo unidos ambos estadounidenses decadas cubana\n",
      "Topic:40\n",
      "orlando mateen tiroteo discoteca omar masacre pulse florida bar matanza 50 club homosexual gay fbi dejo homosexuales unidos victimas autor\n",
      "()\n"
     ]
    }
   ],
   "source": [
    "print_top_words(nmf, tfidf_feature_names, 20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Labels for Each Topic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "topics = {1:'other', 2:'Brazil Corruption 1',\n",
    "         3:'U.S. Presidential Election',4:'Venezuela: Presidential Opposition',\n",
    "          5: 'Syria', 6: 'Youtube: Popular Videos',\n",
    "          7: 'facebook tags', 8: 'El Chapo',\n",
    "          9: 'Bolivia Presidential Term Referendum', 10: \"Obama\",\n",
    "          11: 'Ecuador Earthquake', 12: 'Pope Francis',\n",
    "          13: 'Brexit', 14: 'Zika',\n",
    "          15: 'Spanish Presidential Elections', 16: \"Brussels Bombings\",\n",
    "          17: 'Twitter', 18: 'North Korea',\n",
    "          19: 'Turkey Coup', 20: 'Brazil Corruption 2',\n",
    "          21: 'Chile-Bolivia Disputes', 22: 'Colombia FARC Peace Agreement',\n",
    "          23: 'Syrian Immigration Crisis', 24: 'Topic: Familial Tragedy',\n",
    "          25: 'Argentina: Money Laundering Scandal', 26: \"U.S. Dallas Shooting\",\n",
    "         27: 'Bolivian Presidential Scandal', 28: 'Venezuelan OAS Investigation', \n",
    "         29: 'Education', 30: 'Venezuelan Presidential Opposition',\n",
    "         31: 'EgyptAir Crach', 32: 'Rio Olympics',\n",
    "         33: 'Capture of Colombian Reporter', 34: 'Topic: Science',\n",
    "         35: 'Pokemon Go' , 36: 'Argentina: Presidential Tax Evasion', \n",
    "         37: 'ISIS' , 38: 'Topic: Money', \n",
    "         39: 'Cuba', 40: 'U.S. Orlando Shooting'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cleaning Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 444,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Final Data is By_Month\n",
    "final_data = pd.DataFrame(transformed_data).applymap(lambda x: 1 if x>.12 else 0)\n",
    "final_data.columns = topics.values()\n",
    "final_data['month'] = republica.month\n",
    "by_month = final_data.groupby('month').sum()\n",
    "\n",
    "for i in range(8):\n",
    "    by_month.iloc[i] = by_month.iloc[i]/float(np.sum(by_month.iloc[i]))\n",
    "    \n",
    "by_month['Brazil Corruption'] = by_month['Brazil Corruption 1'] + by_month['Brazil Corruption 2']\n",
    "del by_month['Brazil Corruption 1']\n",
    "del by_month[\"Brazil Corruption 2\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "by_month.to_pickle('republica_month.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Top Topics per Month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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CAACwEOUKAADAQpQrAAAAC1GuAAAALES5AgAAsBDlCgAAwEKUKwAAAAtRrgAAACxEuQIA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\nACxEuQIAALAQ5QoAAMBClCsAAAAL/X94Uq4ucNuciAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1168f3050>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rc={'xtick.labelsize': 10, 'ytick.labelsize': 10, 'axes.labelsize': 25, 'font.size': 10, 'legend.fontsize': 30.0, 'axes.titlesize': 10, \"figure.figsize\": [10, 5]}\n",
    "sns.set(rc = rc)\n",
    "# El Chapo\n",
    "# Venezuelan Presidential Opposition\n",
    "by_month.iloc[0].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "_ = plt.title('Topics for January')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AGIhyBQAAYCDKFQAAgIEoVwAAAAaiXAEAABiIcgUAAGAgyhUAAICBKFcAAAAGolwBAAAY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\nAQAAGOj/AzRzQioG6swaAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1168feb90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pope Francis\n",
    "# U.S. Presidential Election\n",
    "by_month.iloc[1].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "_ = plt.title('Topics for February')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AIMoVAACAQZQrAAAAgyhXAAAABlGuAAAADKJcAQAAGES5AgAAMIhyBQAAYBDlCgAAwCDK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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112b4ba50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Brazilian Corruption\n",
    "# Brussels Bombins\n",
    "by_month.iloc[2].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "_ = plt.title('Topics for March')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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KAADAQJQrAAAAA1GuAAAADES5AgAAMBDlCgAAwECUKwAAAANRrgAAAAxEuQIAADAQ5QoA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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1128d0a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Ecuadorian Earthquake\n",
    "# Brazilian Corruption\n",
    "by_month.iloc[3].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "_ = plt.title('Topics for April')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AgShXAAAABqJcAQAAGIhyBQAAYCDKFQAAgIEoVwAAAAaiXAEAABiIcgUAAGAgyhUAAICB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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1121bb690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Brazilian Corruption\n",
    "# Venezuelan Presidential Opposition\n",
    "by_month.iloc[4].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "_ = plt.title('Topics for May')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VHh7u3BYWFqbDhw8rOztbvr6+2rFjh4YMGaL9+/c7DwX6+/ursLBQRUVF13yfzMyzf/Cj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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112a4d5d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Brexit\n",
    "# U.S. Orlando Shooting\n",
    "by_month.iloc[5].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "_ = plt.title('Topics for June')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ZZSEhIWdtt3z5ctfXEyZM0IQJEwyIBwAA4Fm4iSgAAICBKFcAAAAGolwBAAAYiHIFAABg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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112a88b10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Turkish Coup\n",
    "# U.S. Dallas Shooting\n",
    "by_month.iloc[6].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "_ = plt.title('Topics for July')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AgEGUKwAAAIMoVwAAAAbZrQ4AAPAPpaWl2r59q8+2l5/vUF6e02fba968hQIDA322PVRf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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113be8150>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# U.S. Presidential Election\n",
    "# Brazilian Corruption Scandal\n",
    "by_month.iloc[7].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "_ = plt.title('Topics for August')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Top Topics for the Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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fM7b2yywwTSlPnjzWOrdu3XK6Ps5wtg4pzyFXf1AEAACAUA8AAAB3JG/evKpS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\n6quvWu1lmqY8PT318ccfOwz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RJ5nyr1y4gRI2BiYqJXfenp6di8ebO8HoQ6bTNodVG9tU1k6KKjoyGEgCRJ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112b47350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', \"June\", \"July\", \"Aug\"]\n",
    "\n",
    "lst = []\n",
    "topics_ =[]\n",
    "for i in range(8):\n",
    "    x = by_month.iloc[i].sort_values(ascending = False).head(1)\n",
    "    lst.append(x[0])\n",
    "    topics_.append(x.keys()[0])\n",
    "rc={'xtick.labelsize': 30, 'ytick.labelsize': 25, 'axes.labelsize': 25, 'font.size': 25, 'legend.fontsize': 30.0, 'axes.titlesize': 20, \"figure.figsize\": [30, 13]}\n",
    "sns.set(rc = rc)\n",
    "sns.barplot(x = months, y = lst)\n",
    "plt.title('Republica Top Topics Per Month', fontsize=40)\n",
    "plt.xlabel('Months', fontsize=35)\n",
    "_ = plt.ylabel('% of Articles', fontsize=35)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['El Chapo',\n",
       " 'Pope Francis',\n",
       " 'Brazil Corruption',\n",
       " 'Ecuador Earthquake',\n",
       " 'Brazil Corruption',\n",
       " 'Brexit',\n",
       " 'Turkey Coup',\n",
       " 'U.S. Presidential Election']"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "topics_"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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