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.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

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}}