Hate Speech Classifier

This repository contains a Streamlit web app for classifying tweets using a hate speech detection model. Users can input a Twitter handle, and the app gathers tweets associated with that handle. It then classifies the tweets into different categories using a machine learning model trained to detect hate speech.

Features

• Allows users to input a Twitter handle.
• Gathers tweets associated with the input handle.
• Classifies tweets into categories using a hate speech detection model.
• Displays the number of tweets per category in a bar graph.
• Generates a word cloud visualization of the collected tweets.
• Shows a pie chart displaying the distribution of tweets by category.

Setup

To run the Streamlit app locally, follow these steps:

1. Clone this repository:

   git clone https://github.com/theinit01/Twitter-Hate-Speech-Classifier
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Run the Streamlit app:

   streamlit run model/webApp.py
   

Usage

1. Enter a Twitter handle in the input field provided.
2. Wait for the app to gather tweets associated with the entered handle.
3. View the classification results in the form of a bar graph, word cloud, and pie chart.
4. Explore the sidebar for information about the hate speech detection model and hate speech.

About

This project was developed as a part of our Mini Project. It demonstrates the use of machine learning for hate speech detection and provides an interactive web interface for users to explore the classification results.

License

This project is licensed under the MIT License.