chesterking123 / nlp-from-noob-to-pro

NLP-from-Noob-to-Pro

This one is like a one stop for all the things you need to know in Natural Language Processing.

Contents:

• 1. Classical Machine Learning approach for NLP
  • Text Preprocessing (Level 1)- Tokenization,Lemmatization,StopWords,POS
  • Text Preprocessing (Level 2)- Bag Of Words, TFIDF, Unigrams,Bigrams,n-grams
• 2. Deep Learning for NLP

  • Using Word Embeddings:

    • Understanding Recurrent Neural Networks, LSTM,GRU.
    • Text Preprocessing- Gensim,Word2vec,AvgWord2vec.
    • GLovE, Fasttext.

  • Using Transformers:

    • Bidirectional LSTM RNN, Encoders And Decoders, Attention Models.
    • Transformers.
    • BERT.