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DETE-X: Sentiment-Based Cyber Harassment Detection on X Using RoBERTa and Natural Language Processing for Social Media Monitoring. Poster

DETE-X: Sentiment-Based Cyber Harassment Detection on X Using RoBERTa and Natural Language Processing for Social Media Monitoring.

DETE-X, a novel web application that aims to provide a robust system for sentiment-based cyber harassment detection and social media monitoring on the platform X. The application uses a fine-tuned XLM-RoBERTa model for deep contextual understanding, which then feeds into a Support Vector Machine (SVM) classifier to accurately detect and assess the severity of cyberbullying content in both English and Tagalog tweets. Once detected, the system provides on-demand alerts and actionable moderation suggestions to users, fostering safer online interactions.

Group Members

star iconJames Patrick A. Rojasstar iconJethro Angelo M. Javierstar iconAndrew James F. Potencianostar iconJohn Christian C. Ramos

Mentor

star iconMs. Elisa V. Malasaga

Topics

star iconNatural Language Processing

AVP

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CS Expo 2025