nossamchakri05/Cross-Lingual-Transfer-Learning-Based-Sentiment-Analysis-for-Low-Resource-Languages

# Cross-Lingual Transfer Learning-Based Sentiment Analysis for Low-Resource Languages ## 📋 Overview This project implements a sophisticated **cross-lingual transfer learning approach** for sentiment analysis that leverages high-resource languages (English, Spanish, French, Hindi, German, Arabic) to perform sentiment analysis on low-resource languages including Bengali, Odia, Afrikaans, Malay, and Urdu. The system uses **language similarity graphs** to intelligently select the most linguistically similar high-resource language for each low-resource language input, ensuring optimal transfer learning performance. ## ✨ Key Features - **Multi-Language Support**: Analyzes sentiment for 11+ languages across multiple scripts - **Intelligent Language Matching**: Uses NetworkX-based language similarity graphs to find optimal high-resource language matches - **Automatic Language Detection**: FastText-based language identification - **Multi-Model Architecture**: Specialized BERT-based sentiment models for different languages - **Web Interface**: Flask-based application with user authentication and sentiment logging - **Translation Pipeline**: Automatic translation to matched high-resource languages using Google Translate - **Database Logging**: Tracks all sentiment analysis results with timestamps and user information ## 🗣️ Supported Languages ### High-Resource Languages (Primary Models) - **English** (en) - **Spanish** (es) - **French** (fr) - **Hindi** (hi) - **German** (de) - **Arabic** (ar) ### Low-Resource Languages (Transfer Learning) - **Bengali** (bn) - **Odia** (or) - **Afrikaans** (af) - **Malay** (ms) - **Urdu** (ur) ## 🏗️ Architecture ``` Low-Resource Input (e.g., Odia) ↓ [Language Detection] (FastText) ↓ [Language Similarity Graph] ↓ [Find Optimal High-Resource Match] ↓ [Automatic Translation] ↓ [Language-Specific BERT Model] ↓ [Sentiment Classification] (Positive/Negative/Neutral) ↓ [Database Logging & Result Display] ``` ## 📊 Sentiment Classification …