Comprehensive toolkit for misinformation detection and analysis
Advanced text preprocessing with URL removal, punctuation stripping, tokenization, stopword filtering, and Porter stemming for optimal feature extraction.
Combines Logistic Regression, Random Forest, and Linear SVM with soft voting to maximize accuracy and minimize false positives.
Extracts 17 linguistic metrics including capitalization ratio, punctuation density, sentence length, unique word ratio, and sensational word frequency.
Integrated TextBlob sentiment analysis measuring polarity and subjectivity to detect emotionally manipulative language patterns.
Maintains a curated dictionary of 40+ sensational trigger words and phrases commonly found in clickbait and fabricated content.
Interactive dashboard with prediction history, confidence distribution, model performance metrics, and keyword frequency analysis.
Secure registration and login system with PBKDF2-SHA256 password hashing, session management, and remember-me functionality.
Mobile-first design with adaptive layouts, touch-friendly controls, and optimized performance across all device sizes.