├── ACADEMIA ├── BOOK │ ├── README.md │ ├── Transformers for NLP.pdf │ └── long-short-term-memory-networks-with-python.pdf └── PAPERS │ ├── Attention Is All You Need.pdf │ ├── Improving Language Understanding by Generative Pre-Training (GPT 1).pdf │ └── README.md ├── Attention Based Models └── README.md ├── MODEL ├── Advanced_RNN.ipynb ├── BiLSTM │ ├── README.md │ └── imdb dataset.py ├── GRU │ ├── README.md │ └── imdb dataset.py ├── Long-Short Term Memory │ └── README.md ├── README.md └── Recurrent Neural Network │ ├── Encoding the words.py │ ├── README.md │ ├── RNN_reviews_label.ipynb │ ├── TEXT CLASSIFICATION │ ├── README.md │ ├── RNN Text Classification.ipynb │ └── train.csv │ ├── corpus.py │ ├── data │ ├── README.md │ └── labels.txt │ └── padding.py ├── Notebooks ├── Word2vec_Google_News_300.ipynb └── ty.py ├── Pre Processing ├── Basic Cleaning │ ├── DealingWIthEmoji.ipynb │ ├── README.md │ └── StopWords.py ├── Co-occurrence matrix │ ├── README.md │ ├── concur.jpg │ └── concurrence.jpg ├── Lemmatization │ ├── Lemmatization.ipynb │ └── README.md ├── PRE PROCESSING STEP 01.py ├── README.md ├── RemovePunctuation.py ├── Stemming │ ├── PorterStemmer.ipynb │ ├── README.md │ └── Stemming.py ├── Stop Words │ ├── README.md │ └── Remove default stopwords.py ├── Text_Processing_in_NLP.ipynb ├── Tokenizer and padding.ipynb ├── Word2Vec │ ├── Google_News_word2vec.ipynb │ └── README.md ├── number_to_word.py └── tokenizer │ ├── README.md │ ├── Spacy.py │ └── nltk_tokenize.ipynb ├── Projects └── dataset │ ├── BBC News Train.csv │ └── README.md ├── README.md └── Transfer Learning ├── Projects ├── Quora Insincere Questions Classification │ ├── Quora_Insincere_Questions_Classification_(using_Transfer_Learning).ipynb │ ├── README.md │ └── images │ │ └── final_accuracy_matrics.png └── README.md └── README.md /ACADEMIA/BOOK/README.md: -------------------------------------------------------------------------------- 1 | # BOOK 2 | 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