• Ayush Shah
• Ayushi S
• Akshata G
• Dr.Preeti Satish

This paper is a survey on different NLP (Natural Language Processing) methods. It is a quick walk through the basic concepts of Natural Language Processing. It gives an overview of text pre-processing methods like tokenization, normalization, and POS (Parts of Speech). Different vectorizing techniques like modeling and word embedding are reviewed. The architectures of RNN (Recurrent Neural Network), GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), Encoders, and Decoders have been explored. It goes through the latest NLP techniques like Transformers and BERT (Bidirectional Encoder Representations from Transformers).

BERT, GRU, LSTM, NLP, RNN, Transformers

"A Survey On Text Preprocessing, Data Vectorization And Recent NLP Models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.f176-f183, July-2022, Available :http://www.jetir.org/papers/JETIR2207524.pdf

"A Survey On Text Preprocessing, Data Vectorization And Recent NLP Models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppf176-f183, July-2022, Available at : http://www.jetir.org/papers/JETIR2207524.pdf