Updated global README

README.md

@@ -1,14 +1,24 @@
-All Instructions to run the codes are provided in respective folders.
+This is the code repository for the paper "Stance Detection in Web and Social Media: A Comparative Study" published in the proceedings of CLEF 2019 conference (http://clef2019.clef-initiative.eu/).
+
+## Overview of Code
+- **Preprocessing**:
+	This folder contains the preprocessing code as mentioned in our paper and the datasets. The folder contains all instructions to run the code.
+- **CNN**: 
+	This is a simple Kim's CNN based model applied for stance detection. The respective folder has the instructions on how to run the codes
+- **KDEY**: 
+		 This folder contains our attempt at implementing the approach given in the paper : Twitter Stance Detection — A Subjectivity and Sentiment Polarity Inspired Two-Phase Approach [link](https://ieeexplore.ieee.org/document/8215685 ).The folder contains all instructions to run the code
+- **TAN**:
+	This folder contains the codes for TAN and LSTM, the details of which are mentioned in our paper. The folder contains all instructions to run the code. 
+- **SEN-SVM**:
+	This folder contains the codes for the SEN-SVM method, the details of which are mentioned in our paper. The folder contains all instructions to run the code. 
+
 
 ## Publication
 
-This is the code repository for the paper "Stance Detection in Web and Social Media:  A Comparative Study" published in the proceedings of CLEF 2019 conference (http://clef2019.clef-initiative.eu/).
-
 If you use these codes, please cite our paper:
 
     @inproceedings{
 	title={{Stance Detection in Web and Social Media: A Comparative Study}},
 	author={Ghosh, Shalmoli and Singhania, Prajwal and Singh, Siddharth and Rudra, Koustav and Ghosh, Saptarshi},
 	booktitle={{Proc. Conference and Labs of the Evaluation Forum (CLEF)}},
-year={2019}
-}
+	year={2019}}