Natural-Language-Processing ( Conversational AI)

Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can.

Natural Language Projects :

1. Part of speech Tagging (POS)

2. Spam Filtering

3. Text Summarization

4. Speech TO text

5. sentiment analysis

6. Information Retrivel

7. Text / Document Classification

8. Question Answering

9. Machine Translation

Text Preprocessing Steps :

1. Lower casing

2. Removal of Punctuations

3. Removal of Stopwords

4. Removal of Frequent words

5. Removal of Rare words

6. Stemming

7. Lemmatization

8. Removal of emojis

9. Removal of emoticons

10. Conversion of emoticons to words

11. Conversion of emojis to words

12. Removal of URLs

13. Removal of HTML tags

Word-Vectorization :

1. One hot encoding

2. BOW(Bag of words)

3. Tfidf(Term frequency and inverse document frequency)

4. WordEmbedding

   • Word2Vec :

     • CBOW

     • Skip - Gram

Models:

MACHINE LEARING MODELS:

1. Naive Bayes
2. Random Forest
3. XGBOOST

DEEP LEARNING MODELS :

4. RNN
5. LSTM
6. GRU
7. Bi- Directional LSTM
8. Stacked LSTM
9. Transformers (ATTENTION ALL YOU NEED)
10. BERT
11. Al-BERT
12. distill BERT
13. GPT
14. ELMO