thematos 0.14.5
A Python Library for Topic Modeling
License: MIT
Requires Python: <3.13,>=3.9

# ThematOS: A HyFI-based library for Topic Modeling

[![pypi-image]][pypi-url]
[![version-image]][release-url]
[![release-date-image]][release-url]
[![license-image]][license-url]
[![DOI][zenodo-image]][zenodo-url]
[![codecov][codecov-image]][codecov-url]
[![jupyter-book-image]][docs-url]

A Python Library for Topic Modeling

- Documentation: [https://thematos.entelecheia.ai][docs-url]
- GitHub: [https://github.com/entelecheia/thematos][repo-url]
- PyPI: [https://pypi.org/project/thematos][pypi-url]

ThematOS is a Python library specifically designed for topic modeling, a critical method in natural language processing (NLP) and machine learning (ML) that uncovers hidden patterns and themes within extensive text data collections. The name stems from the Greek word θέματος, symbolizing the library's core focus on revealing the intrinsic structure of textual information. Built upon the [Hydra Fast Interface (HyFI)](https://hyfi.entelecheia.ai) framework, ThematOS is a HyFI-based library, enabling seamless integration into existing HyFI-based projects or utilization as a standalone library.

## Citation

```tex
@software{lee_2023_8248129,
  author       = {Young Joon Lee},
  title        = {ThematOS: A HyFI-based library for Topic Modeling},
  month        = aug,
  year         = 2023,
  publisher    = {Zenodo},
  version      = {v0.14.1},
  doi          = {10.5281/zenodo.8248128},
  url          = {https://doi.org/10.5281/zenodo.8248128}
}
```

```tex
@software{lee_2023_hyfi,
  author       = {Young Joon Lee},
  title        = {Lexikanon: A HyFI-based library for Tokenizers},
  year         = 2023,
  publisher    = {GitHub},
  url          = {https://github.com/entelecheia/lexikanon}
}
```

## Changelog

See the [CHANGELOG] for more information.

## Contributing

Contributions are welcome! Please see the [contributing guidelines] for more information.

## License

This project is released under the [MIT License][license-url].

<!-- Links: -->

[zenodo-image]: https://zenodo.org/badge/DOI/10.5281/zenodo.8248128.svg
[zenodo-url]: https://doi.org/10.5281/zenodo.8248128
[codecov-image]: https://codecov.io/gh/entelecheia/thematos/branch/main/graph/badge.svg?token=JP5P7C8ZOO
[codecov-url]: https://codecov.io/gh/entelecheia/thematos
[pypi-image]: https://img.shields.io/pypi/v/thematos
[license-image]: https://img.shields.io/github/license/entelecheia/thematos
[license-url]: https://github.com/entelecheia/thematos/blob/main/LICENSE
[version-image]: https://img.shields.io/github/v/release/entelecheia/thematos?sort=semver
[release-date-image]: https://img.shields.io/github/release-date/entelecheia/thematos
[release-url]: https://github.com/entelecheia/thematos/releases
[jupyter-book-image]: https://jupyterbook.org/en/stable/_images/badge.svg
[repo-url]: https://github.com/entelecheia/thematos
[pypi-url]: https://pypi.org/project/thematos
[docs-url]: https://thematos.entelecheia.ai
[changelog]: https://github.com/entelecheia/thematos/blob/main/CHANGELOG.md
[contributing guidelines]: https://github.com/entelecheia/thematos/blob/main/CONTRIBUTING.md

<!-- Links: -->