International Journal on Science and Technology

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ADVANCED TWITTER ANALYTICS AND USER BEHAVIOR PREDICTION SYSTEM

Author(s) Dr. V Biksham, Atharva Vaibhav Pore, Kavuri Shreya, M Karnakar
Country India
Abstract 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.
Field Sociology > Data / Information / Statistics
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-04-23
Cite This ADVANCED TWITTER ANALYTICS AND USER BEHAVIOR PREDICTION SYSTEM - Dr. V Biksham, Atharva Vaibhav Pore, Kavuri Shreya, M Karnakar - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3853
DOI https://doi.org/10.71097/IJSAT.v16.i2.3853
Short DOI https://doi.org/g9gp4m
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