|topmost-logo| TopMost
=================================

.. |topmost-logo| image:: _static/topmost-logo.png
    :width: 38

.. image:: https://img.shields.io/github/stars/bobxwu/topmost?logo=github
        :target: https://github.com/bobxwu/topmost/stargazers
        :alt: Github Stars

.. image:: https://static.pepy.tech/badge/topmost
        :target: https://pepy.tech/project/topmost
        :alt: Downloads

.. image:: https://img.shields.io/pypi/v/topmost
        :target: https://pypi.org/project/topmost
        :alt: PyPi

.. image:: https://readthedocs.org/projects/topmost/badge/?version=latest
    :target: https://topmost.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status

.. image:: https://img.shields.io/github/license/bobxwu/topmost
        :target: https://www.apache.org/licenses/LICENSE-2.0/
        :alt: License

.. image:: https://img.shields.io/github/contributors/bobxwu/topmost
        :target: https://github.com/bobxwu/topmost/graphs/contributors/
        :alt: Contributors

.. image:: https://img.shields.io/badge/arXiv-2309.06908-<COLOR>.svg
        :target: https://arxiv.org/pdf/2309.06908.pdf
        :alt: arXiv




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.


| Check our ACL 2024 demo paper: `Towards the TopMost: A Topic Modeling System Toolkit <https://arxiv.org/pdf/2309.06908.pdf>`_.
| Check our survey paper on neural topic models, accepted to Artificial Intelligence Review: `A Survey on Neural Topic Models: Methods, Applications, and Challenges <https://arxiv.org/pdf/2401.15351.pdf>`_.


|
| If you want to use TopMost, 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}
    }




.. toctree::
   :maxdepth: 1
   :caption: Contents:

   overview
   quick_start
   installation
   tutorials
   misc