Natural Language Processing Tutorial

nlp-tutorial is a tutorial for who is studying NLP(Natural Language Processing) using TensorFlow and Pytorch.

• We will use NLTK which is one of the most popular Python packages for Natural Language Processing (NLP)

Topics

Basic Natural Language Processing

    #### Fundamental Concepts
#### LDA_Topic_modeling
#### Sentiment Analysis
#### Twitter_Search_and_Text_Summarization
#### Word Embedding
#### Word2Vec

Advance Natural Language Processing

#### Neural network language model
#### Word2Vec
#### FastText
#### TextCNN
#### Bi-LSTM
#### Seq2Seq
#### Seq2Seq(Attention)
#### Bi-LSTM(Attention)
#### Transformer
#### BERT
#### Naural Machine Translation
#### Speech Recognition
#### Transfer Learning
#### NER-BidirectionalLSTM-CNN-CoNLL

Advance NLP Topic

Model	Example	Framework
NNLM	Predict Next Word	Torch, Tensor
Word2Vec(Softmax)	Embedding Words	Torch, Tensor
TextCNN	Sentence Classification	Torch, Tensor
TextRNN	Predict Next Step	Torch, Tensor
TextLSTM	Autocomplete	Torch, Tensor
Bi-LSTM	Predict Next Word in Long Sentence	Torch, Tensor
Seq2Seq	Change Word	Torch, Tensor
Seq2Seq with Attention	Translate	Torch, Tensor
Bi-LSTM with Attention	Binary Sentiment Classification	Torch, Tensor
Transformer	Translate	Torch
BERT	Sequence Prediction	Torch

Dependencies

• Python 3.7
• Tensorflow 1.12.0+
• Pytorch 0.4.1+

Author

• Kunal Bhashkar
• Author Email : [email protected]