Cyberbullying detection and prevention system for social media, has machine learning model with natural language processing for detecting and reporting occurrence of cyberbullying in social media comments
2023-10-16
专利权人BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期2023-10-16
专利号IN202341069694-A
成果简介NOVELTY - The system has a machine learning (ML) model with natural language processing (NLP) for detecting and reporting occurrence of cyberbullying in social media comments. USE - Cyberbullying detection and prevention system for social media. ADVANTAGE - The system enables the real-time detection of cyberbullying incidents occuring on Twitter (Micro-blog), allows prompt intervention and resolution of the situation and timely and efficient action to be taken against the perpetrators, improves accuracy of cyberbullying detection, notifies the official authorities of cyber security automatically, reduces human bias and subjectivity in the detection of cyberbullying incidents and is easily scaled to detect cyberbullying incidents across multiple social media platforms except Twitter (Micro-blog).
IPC 分类号G06F-040/30 ; G06Q-010/10 ; G06Q-050/00 ; H04L-051/00 ; H04L-067/50
国家印度
专业领域信息技术
语种英语
成果类型专利
文献类型科技成果
条目标识符http://119.78.100.226:8889/handle/3KE4DYBR/19816
专题中国科学院新疆生态与地理研究所
作者单位
BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式
GB/T 7714
KALIYAMURTHIE K P,MUTHULAKSHMI K,REDDY R A,et al. Cyberbullying detection and prevention system for social media, has machine learning model with natural language processing for detecting and reporting occurrence of cyberbullying in social media comments. IN202341069694-A[P]. 2023.
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