<h1 align = "center">
<img alt = "favicon" src = "https://cdn-icons-png.flaticon.com/512/10306/10306116.png" height = 125px><br>
NLPurify
</h1>
<div align = "center">
[](https://nlpurify.readthedocs.io/en/latest/?badge=latest)
[](https://github.com/sharkutilities/NLPurify/issues)
[](https://github.com/sharkutilities/NLPurify/network)
[](https://github.com/sharkutilities/NLPurify/stargazers)
[](https://github.com/sharkutilities/NLPurify/blob/master/LICENSE)
[](https://pypistats.org/packages/pandas-wizard)
[](https://pypi.org/project/NLPurify/)
[](https://dashboard.guardrails.io/gh/sharkutilities/repos/252951)
</div>
<div align = "justify">
A text cleaning and extraction engine was developed using a combination of traditional techniques like Unicode translations,
cleaning using regular expressions, and modern tools like "natural language processing" and "large language models" to
detect and clean long texts and create word vectors.
## Getting Started
The source code is hosted at GitHub: [**sharkutilities/NLPurify**](https://github.com/sharkutilities/NLPurify).
The binary installers for the latest release are available at the [Python Package Index (PyPI)](https://pypi.org/project/NLPurify/).
```bash
pip install -U NLPurify
```
The module is currently under development, and new ideas are welcomed. Raise a new PR/issue for the same.
The changes between each release are available [here](./CHANGELOG.md).
</div>
---
> [!CAUTION]
> **This code depreciates the existing GitHub Gist which was previously designed.**
> Check [`#1`](https://github.com/sharkutilities/NLPurify/issues/1) for more details.
> [!NOTE]
> **_Legacy_ codes are available as a submodule.**
> Check [`#5`](https://github.com/sharkutilities/NLPurify/issues/5) for more details.
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