Metadata-Version: 2.4
Name: akoang-library
Version: 0.1.0
Summary: A lightweight text preprocessing toolkit with tokenization, stopword removal, stemming, lemmatization, and emoji/special character cleaning.
Author: Jhun Brian Andam
Project-URL: Homepage, https://github.com/JhunBrian/process-text
Project-URL: Repository, https://github.com/JhunBrian/process-text
Keywords: nlp,preprocessing,text-cleaning,machine-learning
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: regex
Requires-Dist: nltk
Requires-Dist: contractions
Requires-Dist: textblob

# process-text

A simple and lightweight text preprocessing toolkit for NLP pipelines.

## Features
- Lowercasing  
- Punctuation removal  
- Tokenization  
- Stopword removal  
- Stemming  
- Lemmatization with POS tagging  
- Emoji removal  
- Special character filtering  
- Misspelling correction using TextBlob  
- Compose multiple transformations into a pipeline  

## Installation

```bash
pip install process-text
```
