| System for detecting fake review from social media or document corpus, where news document or article that are uploaded to application and then by using natural language processing to extract quote, verb and name entity recognition | |
| 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 | IN202341069807-A |
| 成果简介 | NOVELTY - The system has news document or article that are uploaded to application and then by using natural language processing to extract quote, verb and name entity recognition from document to compute score, verb, quote and name entity also called as attribution. The supervised learning estimator is used to calculate score between sum of verbs, sum of name entity and sum of quotes divided by total sentence length if the score is greater than 0 then news will be considered as REAL and if less than 0 then news will be considered FAKE. USE - System for detecting fake review from social media or document corpus using natural language processing and attribution supervised learning estimator. Used for detecting fake news from social media platform e.g. Facebook(RTM: Social media application) and Twitter(RTM: Messaging application), and mainstream media platform such as traditional TV and radio news. ADVANTAGE - The method utilizes a user interface to allow a user to provide feedback to the system, so that the system can respond to the feedback in an effective manner. The method allows the system to provide a feedback loop to allow the user to receive feedback from the system in an efficient manner, thus improves accuracy of the system. The system allows the user of the computing device to receive the feedback from other computing devices in a reliable manner, and allows the feedback to be provided to the user in an easy manner. |
| IPC 分类号 | G06F-016/35 ; G06K-009/62 ; G06N-020/00 ; G06N-020/20 ; G06Q-030/02 |
| 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/19904 |
| 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 | ETHIRAJULU V,PRIYA S T,REDDY B G,et al. System for detecting fake review from social media or document corpus, where news document or article that are uploaded to application and then by using natural language processing to extract quote, verb and name entity recognition. IN202341069807-A[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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