Metadata-Version: 2.1
Name: cyberbullying-detection
Version: 2.0
Summary: An package to detect the cyberbullying content in the text
Home-page: https://github.com/omprakashselvaraj/cyberbullying-0.0.1
Author: Omprakash Selvaraj
Author-email: omprakash.sr2410@gmail.com
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: nltk
Requires-Dist: num2words
Requires-Dist: bs4
Requires-Dist: regex
Requires-Dist: unidecode

# CYBERBULLYING TEXT CONTENT DETECTOR

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 
[![Python 3.9](https://img.shields.io/badge/python-3.9-blue.svg)](https://www.python.org/downloads/release/python-390/)   


## Functionality of the CyberBullying detector

- Used to detect cyberbullying content in the text.
- Helpful for social media platforms to detect cyberbullying content.
- If the text is cyberbullying content, it will return the kind of cyberbullying as age, gender, religion, ethinicity and others
- If the text is not cyberbullying return not cyberbullying.

## Usage

- Make sure you have Python installed in your system.
- Run Following command in the CMD.
 ```
  pip install cyberbullying-detction
  ```
  ```
  import nltk
  nltk.download('stopwords')
  nltk.download('punkt')
  nltk.download('wordnet')
  ```
## Example

 ```

import cyberbullying_detection as cd
x = "confronting the primary school bully and then breaking his arm with my pencilcase"
cb = cd.cyberbullying(x)
cb.find()

The content belongs to age type
  ```


