README.md

Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks

paper link: https://arxiv.org/abs/2304.11411

How to download the LCS dataset and UKM movie database

The LCS datset and UKM movie database is available at Google Drive. Please apply for access by contacting wh2213210554@stu.xjtu.edu.cn with your institutional email address and clearly state your institution, your research advisor (if any), and your use case of the data.

We also provided preprocessed data for the Kaggle dataset, which can be directly download from Google Drive.

Environment

conda env create -f environment.yml would generate a conda environment called spoiler that should be able to run the code.

How to run the code

First create the conda environment.

Step 0: download preprocessed data

Download preprocessed data for the Kaggle dataset from Google Drive to the repository directory and unzip it.

Step 1: cd to src and train the model

cd src
python train.py  --device <your_device_id>

Citation

If you find this dataset or codebase useful in your research, please cite the following paper.

@article{wang2023detecting,
  title={Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks},
  author={Wang, Heng and Zhang, Wenqian and Bai, Yuyang and Tan, Zhaoxuan and Feng, Shangbin and Zheng, Qinghua and Luo, Minnan},
  journal={arXiv preprint arXiv:2304.11411},
  year={2023}
}