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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}
}
@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}}