TopMost#
TopMost provides complete lifecycles of topic modeling, including datasets, preprocessing, models, training, and evaluations. It covers the most popular topic modeling scenarios, like basic, dynamic, hierarchical, and cross-lingual topic modeling.
This is our demo paper Towards the TopMost: A Topic Modeling System Toolkit.
This is our survey paper on neural topic models: A Survey on Neural Topic Models: Methods, Applications, and Challenges.
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}
}