AbewAbew/Hateword_detection_ethiopian_language

# Threat Analysis Platform A real-time analysis tool for identifying inflammatory and hateful speech in Ethiopian online content. Developed by **DRSE.G** and powered by the **CIR Inflammatory Keywords Lexicon**. ## Features - **Browser Extension**: Seamlessly integrate the analysis tool into your web browser. Get the Chrome Extension - **Multi-Language Support**: Analyzes text in English, Amharic (አማርኛ), Afaan Oromo, and Tigrigna (ትግርኛ) - **Real-Time Analysis**: Instant analysis of text content - **Detailed Categorization**: Identifies hate speech types (Gender, Ethnic, Religious, Political) - **File Upload Support**: Analyze .txt files directly - **Privacy-Focused**: No data storage, no accounts required, completely anonymous - **Context Information**: Provides explanations for why terms are considered inflammatory ## Project Structure ``` platfrom/ │ ├── app.py # Flask web server ├── analyzer.py # Core analysis engine ├── requirements.txt # Python dependencies ├── plan.md # Project planning document ├── Inflammatory Keywords and Phrases for CIR TFGBV Research.csv # Lexicon data │ └── templates/ ├── index.html # Main analysis interface └── about.html # About/documentation page ``` ## Installation ### Prerequisites - Python 3.8 or higher - pip (Python package installer) ### Setup Steps 1. **Navigate to the project directory**: ```bash cd C:\Projects\platfrom ``` 2. **Install required packages**: ```bash pip install -r requirements.txt ``` 3. **Verify the CSV lexicon file is present**: - Ensure `Inflammatory Keywords and Phrases for CIR TFGBV Research.csv` exists in the project root ## Running the Application 1. **Start the Flask server**: ```bash python app.py ``` 2. **Access the application**: - Open your web browser - Navigate to: `lo …