Metadata-Version: 2.1
Name: grizzel
Version: 0.1.2
Summary: A simple text cleaning utility using NLTK and BeautifulSoup
Home-page: https://pypi.org/project/grizzel/
Author: Ratul Sur
Author-email: your@email.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: nltk
Requires-Dist: beautifulsoup4

# text_cleaner

A lightweight Python package to clean and normalize raw text data using NLTK, BeautifulSoup, and Unicode handling.

##  Features

- Removes HTML, URLs, numbers, punctuation, and non-ASCII characters
- Strips and normalizes all types of whitespace (including invisible Unicode spaces)
- Tokenizes, removes stopwords, and lemmatizes words
- Uses NLTK and BeautifulSoup under the hood

---

##  Installation

```bash
pip install greedigut
