Notice#

Differences from original implementations#

  1. Oringal implementations may use different optimizer settings. For simplicity and brevity, our package by default uses the same setting for different models.

Disclaimer#

This library includes some datasets for demonstration. If you are a dataset owner who wants to exclude your dataset from this library, please contact Xiaobao Wu.

Authors#

xiaobao-figure Xiaobao Wu

fengjun-figure Fengjun Pan

Contributors#

Contributors

How to cite our work#

If you want to use our toolkit, please cite as

@article{wu2023topmost,
title={Towards the TopMost: A Topic Modeling System Toolkit},
author={Wu, Xiaobao and Pan, Fengjun and Luu, Anh Tuan},
journal={arXiv preprint arXiv:2309.06908},
year={2023}
}

@article{wu2023survey,
    title={A Survey on Neural Topic Models: Methods, Applications, and Challenges},
    author={Wu, Xiaobao and Nguyen, Thong and Luu, Anh Tuan},
    journal={Artificial Intelligence Review},
    url={https://doi.org/10.1007/s10462-023-10661-7},
    year={2024},
    publisher={Springer}
}

Acknowledgments#

  • If you want to add any models to this package, we welcome your pull requests.

  • If you encounter any problem, please either directly contact Xiaobao Wu or leave an issue in the GitHub repo.

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