Speech Type Detection

This project utilizes a machine learning model to detect hate speech and offensive language in social media posts. Implemented using Python and Flask, it provides a web interface for users to input text and receive predictions. The model classifies text into three categories: "Hate Speech," "Offensive Language," and "No Hate or Offensive Language," achieving an accuracy of 87.3%.

Table of Contents

• About
• Features
• Installation
• Usage
• Contributing
• License

About

This project focuses on detecting hate speech and offensive language in social media posts. Using a machine learning model trained on a labeled dataset, the application can classify text into three categories: "Hate Speech," "Offensive Language," and "No Hate or Offensive Language." The project is implemented using Python and Flask, providing a web interface to input text and get predictions.

Features

• Data Preprocessing:

  • Text Cleaning: Removal of URLs, HTML tags, punctuation, digits, and stopwords.
  • Stemming: Reducing words to their root form using NLTK's Snowball Stemmer.

• Model Training:

  • Algorithm: Decision Tree Classifier for classification.
  • Vectorization: Text data is converted into numerical features using CountVectorizer.

• Web Interface:

  • Flask Framework: Simple web application to input text and display predictions.
  • Endpoints:
    • /: Renders the home page.
    • /predict: Accepts text input via POST method and returns the prediction result.

• Evaluation:

  • Metrics: Confusion matrix and accuracy score to evaluate model performance.
  • Visualization: Heatmap of the confusion matrix using Seaborn.

• Easy to Use:

  • Beginner Friendly: Clear structure and detailed code comments for easy understanding.
  • Deployment Ready: Flask app setup for local deployment.

Installation

Provide instructions on how to install and set up your project locally. Include any dependencies that need to be installed and any configuration steps.

# Clone the repository
git clone https://github.com/PoojanDoshi11/Speech_Detection.git

# Navigate to the project directory
cd Speech_Detection

# Install dependencies
pip install -r requirements.txt

Usage

-- Run the Flask app

python app.py

-- then follow the provided local host link -- then enter some text and click on detect -- then enjoy the results