26 lines
1.7 KiB
Markdown
26 lines
1.7 KiB
Markdown
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/).
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## Overview of Code
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- **Preprocessing**:
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This folder contains the preprocessing code as mentioned in our paper and the datasets. The folder contains all instructions to run the code.
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- **CNN**:
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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
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- **KDEY**:
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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
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- **TAN**:
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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.
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- **SEN-SVM**:
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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.
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- **Bert.ipynb**:
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This ipython notebook contains the code used for running BERT on the dataset. This needs to be be run on [Google Colab](https://colab.research.google.com) with TPU support.
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## Publication
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If you use these codes, please cite our paper:
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@inproceedings{
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title={{Stance Detection in Web and Social Media: A Comparative Study}},
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author={Ghosh, Shalmoli and Singhania, Prajwal and Singh, Siddharth and Rudra, Koustav and Ghosh, Saptarshi},
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booktitle={{Proc. Conference and Labs of the Evaluation Forum (CLEF)}},
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year={2019}}
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