Abstract
CYBERGUARD: A COMPREHENSIVE CYBER BULLYING DETECTION AND SUPPORT SYSTEM
*Dr. M. Hemalatha and Prasanth S.
ABSTRACT
In recent years, the rise of social media and online communication platforms has led to an increase in instances of cyber bullying, posing significant challenges to individuals' mental health and well-being. To combat this pervasive issue, we present a comprehensive Cyber bullying Detection and Reporting System with Integrated Mental Health Support. This paper utilizes techniques such as Natural Language Processing (NLP) and sentiment analysis to analyze the semantic and emotional content of user-generated text, allowing it to detect patterns indicative of cyber bullying behavior. Upon identifying potential instances of cyber bullying, the system provides users with intuitive reporting functionalities, enabling them to flag and report abusive or harmful content with ease. Furthermore, this paper goes beyond mere detection and reporting by integrating mental health support resources directly into the platform. Recognizing the detrimental impact that cyber bullying can have on individuals' mental well-being, we have incorporated links to relevant support services, help lines, and counseling resources. This holistic approach aims to provide immediate assistance and support to individuals who may be affected by cyber bullying, empowering them to seek help and access resources to address their emotional and psychological needs.
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