Metadata-Version: 2.1
Name: mngdataclean
Version: 0.4.2
Summary: Text preprocessing package
Home-page: https://github.com/Nagaganesh21/mngdataclean
Author: Nagaganesh
Author-email: mnagaganesh21@gmail.com
License: MIT
Keywords: text,preprocessing
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
License-File: license

# Preprocess YourText

Preprocess YourText is a Python package for text preprocessing tasks, designed to simplify and streamline the process of cleaning and preparing text data for natural language processing (NLP) tasks.

## Features

- **HTML Tag Removal**: Easily remove HTML tags from text data.
- **URL Removal**: Remove URLs from text data.
- **Email Removal**: Remove email addresses from text data.
- **Special Character Removal**: Remove special characters from text data.
- **Accent Removal**: Remove accents from characters in text data.
- **Contractions Expansion**: Expand contractions in text data (e.g., "don't" to "do not").
- **Lemmatization**: Lemmatize words in text data to their base form.
- **Spelling Correction**: Correct spelling mistakes in text data.

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

## Installation

You can install the package via pip:

```bash
pip install mngdataclean

## Usage
import mngdataclean as mdc

# Example usage:
text = "This is an example text with HTML tags <b>and URLs</b>."
clean_text = mdc.get_clean(text)
print(clean_text)

#output is 
This is an example text with HTML tags and URLs.





