| Real and pseudo news classifying method, involves analyzing linguistic patterns, context, and other features of news articles to determine authenticity, and providing accuracy and reliable classifications | |
| 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 | IN202341069616-A |
| 成果简介 | NOVELTY - The method involves analyzing linguistic patterns, context, and other features of news articles to determine authenticity. Accuracy and reliable classifications are provided. Timely detection is aided in identification of pseudo news. Natural language processing (NLP) algorithms are designed to analyze news articles in real-time. Rapid identification and flagging of potentially misleading or false information are enabled. A timely response and mitigation of the spread of the pseudo news are contributed. The authenticity of the news articles solely is determined based on language patterns. Contextual understanding is struggled with understanding the nuanced meaning and context of certain phrases or topics, that lead to misclassifications. USE - Method for real and pseudo news classification using NLP technique for automatically identifying whether news article or piece of information is genuine or fabricated. ADVANTAGE - The method automatically identifies whether a given news article or piece of information is genuine or fabricated in an efficient manner. The method effectively extracts relevant features that can help in distinguishing between real and pseudo news. |
| IPC 分类号 | G06F-016/35 ; G06F-040/284 ; G06F-040/30 ; G06K-009/62 ; G06N-020/00 |
| 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/19804 |
| 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,YERRAPOTHU S,YERRAM R S M,et al. Real and pseudo news classifying method, involves analyzing linguistic patterns, context, and other features of news articles to determine authenticity, and providing accuracy and reliable classifications. IN202341069616-A[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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