Updated README File

Author: prakashpandey9

README.md

@@ -1,2 +1,32 @@
 # Text-Classification-Pytorch
-Text classification using deep learning models in Pytorch
+## Description
+This repository contains the implmentation of various text classification models like RNN, LSTM, Attention, CNN, etc in PyTorch deep learning framework along with a detailed documentation of each of the model.
+
+Text Classification is one of the basic and most important task of Natural Language Processing. In this repository, I am focussing on one such text classification task and that is Sentiment Analysis. So far I have covered following six different models in this repo.
+
+  * RNN
+  * LSTM
+  * LSTM + Attention
+  * Self Attention
+  * CNN
+  * RCNN
+
+## Requirements
+  * Python==3.6.6
+  * PyTorch==0.4.0
+  * torchtext==0.2.3
+
+## Downloads and Setup
+Once you clone this repo, run the main.py file to process the dataset and to train the model.
+```shell
+$ main.py
+```
+
+## References
+A Structured Self-Attentive Sentence Embedding : [Paper][1]
+Convolutional Neural Networks for Sentence Classification : [Paper][2]
+Recurrent Convolutional Neural Networks for Text Classification : [Paper][3]
+
+[1]:https://arxiv.org/pdf/1703.03130.pdf
+[2]:https://arxiv.org/pdf/1408.5882.pdf
+[3]:https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwiRxa37_PbbAhWOfSsKHW9bAtIQFggrMAA&url=https%3A%2F%2Fwww.aaai.org%2Focs%2Findex.php%2FAAAI%2FAAAI15%2Fpaper%2Fdownload%2F9745%2F9552&usg=AOvVaw37k05lV8569fo_aCghlO9i