| Method for automatically detecting fake news by using natural language processing to identify fake news articles, videos, and forms of content, involves analyzing text of news articles and other sources of information to identify patterns and features | |
| 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 | IN202341069787-A |
| 成果简介 | NOVELTY - The method involves analyzing text of news articles and other sources of information to identify patterns and features, where the features include emotional language, sensational headlines, and exaggerated claims or statements. Machine learning algorithms are utilized to classify news articles as real or fake based on a set of predefined criteria. The machine learning algorithms are typically trained on large datasets of news articles. USE - Method for automatically detecting fake news by using natural language processing (NLP) to identify fake news articles, videos, and forms of content. ADVANTAGE - The method enables providing valuable insights into effectiveness and efficiency of different machine learning algorithms for fake news detection to improve accuracy, efficiency and accuracy of future fake news detecting systems. The method allows a machine learning module to provide valuable insights to a user to improve the accuracy of the machine learning algorithm and to improve performance of the system. |
| IPC 分类号 | G06K-009/62 ; G06N-020/00 ; G06N-020/20 ; G06N-005/00 ; G06Q-030/00 |
| 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/19578 |
| 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 | SHANKAR H G,FATHIMA S S N,VETHIRAJULU V,et al. Method for automatically detecting fake news by using natural language processing to identify fake news articles, videos, and forms of content, involves analyzing text of news articles and other sources of information to identify patterns and features. IN202341069787-A[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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