Metadata-Version: 2.1
Name: stopwordz
Version: 0.2
Summary: A simple stopword cleaner
Home-page: https://github.com/subaashnair/stopwordz
Author: Subashanan Nair
Author-email: subaashnair12@gmail.com
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown


# Stopwordz

Stopwordz is a Python library designed to efficiently remove stopwords from text data. It comes with a pre-defined set of stopwords ideal for various text preprocessing tasks, especially in natural language processing applications.

## Installation

You can easily install Stopwordz from PyPI:

```bash
pip install stopwordz
```

## Usage

Using Stopwordz is straightforward. Import the `clean_text` function from the package and pass your text data to it:

```python
from stopwordz import clean_text

# Example text
text = "This is a sample sentence, showing off the stop words filtration."
cleaned_text = clean_text(text)
print(cleaned_text)
```

## Features

- Pre-defined comprehensive list of stopwords.
- Easy to integrate into text preprocessing pipelines.
- Lightweight and fast.

## Contributing

Contributions are welcome! Please fork the repository and open a pull request with your additions. For major changes, please open an issue first to discuss what you would like to change.

## License

[MIT](https://choosealicense.com/licenses/mit/)

