| 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. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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