overview

In the below series of blogs, I will try to cover NLP in detail. Some of them are

• Basics of NLP like Tokenization, Lemmatization

• Feature extraction methods

  • BOW

  • TFIDF

  • Word2Vec

• Basic text classification using ML

• Writing end to end deployment pipeline for above ML algorithm

• Text classification

  • using LSTM's

  • using word level CNN

  • using char level CNN

• Seq2Seq modelling using RNN

  • NMT

  • some types of multi label classification

  • Attention mechanism

  • POS tagging

  • Chatbot design

• Seq2Seq modelling using CNN

• Transfer learning using BERT, ELMO