Name | repdex JSON |
Version |
0.1.0
JSON |
| download |
home_page | https://repdex.entelecheia.ai |
Summary | An AI-driven approach to measure corporate and CEO reputation using Aspect-Based Sentiment Analysis on news articles |
upload_time | 2024-09-23 06:01:56 |
maintainer | None |
docs_url | None |
author | Young Joon Lee |
requires_python | <3.13,>=3.9 |
license | MIT |
keywords |
|
VCS |
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bugtrack_url |
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requirements |
No requirements were recorded.
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Travis-CI |
No Travis.
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coveralls test coverage |
No coveralls.
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# Repdex
[![pypi-image]][pypi-url]
[![version-image]][release-url]
[![release-date-image]][release-url]
[![license-image]][license-url]
[![codecov][codecov-image]][codecov-url]
[![jupyter-book-image]][docs-url]
<!-- Links: -->
[codecov-image]: https://codecov.io/gh/entelecheia/repdex/branch/main/graph/badge.svg?token=IluWv2HY3z
[codecov-url]: https://codecov.io/gh/entelecheia/repdex
[pypi-image]: https://img.shields.io/pypi/v/repdex
[license-image]: https://img.shields.io/github/license/entelecheia/repdex
[license-url]: https://github.com/entelecheia/repdex/blob/main/LICENSE
[version-image]: https://img.shields.io/github/v/release/entelecheia/repdex?sort=semver
[release-date-image]: https://img.shields.io/github/release-date/entelecheia/repdex
[release-url]: https://github.com/entelecheia/repdex/releases
[jupyter-book-image]: https://jupyterbook.org/en/stable/_images/badge.svg
[repo-url]: https://github.com/entelecheia/repdex
[pypi-url]: https://pypi.org/project/repdex
[docs-url]: https://repdex.entelecheia.ai
[changelog]: https://github.com/entelecheia/repdex/blob/main/CHANGELOG.md
[contributing guidelines]: https://github.com/entelecheia/repdex/blob/main/CONTRIBUTING.md
<!-- Links: -->
An AI-driven approach to measure corporate and CEO reputation using Aspect-Based Sentiment Analysis on news articles
- Documentation: [https://repdex.entelecheia.ai][docs-url]
- GitHub: [https://github.com/entelecheia/repdex][repo-url]
- PyPI: [https://pypi.org/project/repdex][pypi-url]
Repdex is an innovative project that leverages advanced language models like GPT-4o, Claude 3.5, or Llama 3.1 through LangChain to perform Aspect-Based Sentiment Analysis (ABSA) on news articles. It aims to quantify and analyze the reputation of companies and their CEOs, providing valuable insights for corporate communications teams, investors, analysts, and researchers.
## 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].
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