ADVANCED TWITTER ANALYTICS AND USER BEHAVIOR PREDICTION SYSTEM

This project presents an Advanced Twitter Analytics and User Behavior Prediction System that leverages machine learning and natural language processing to enhance platform security, user engagement, and data-driven decision-making. It features bot detection, advanced sentiment analysis (detecting emotions like joy, anger, and sarcasm), abusive content identification, real-time trend analysis, and influencer impact assessment. These capabilities help curb misinformation, ensure user safety, prevent trend manipulation, and identify credible influencers. Overall, the system promotes a safer, more transparent, and intelligent Twitter experience for users, businesses, and policymakers.