System for identifying reliable users in social media, has K-means clustering module for categorizing users into highly reliable and less reliable groups based on reliability score, where relevant tweet analysis and tweets are categorized into positive and negative
	KAVIN B; MANIKANDAN D; KEERTHIKA M; KUMAR N G S; VALLIYAMMAI C
	2024-08-30
专利权人	UNIV CHENNAI ANNA (UYCH-Non-standard)
申请日期	2024-08-30
专利号	IN202441065565-A
成果简介	NOVELTY - The system has a data extraction module configured to retrieve social media data related to a crisis event. A reliability score calculation module processes generated scores using weighted averages to produce a reliability score for each user, where tweet-relevant analysis is given highest weight. A K- means clustering module categorizes users into highly reliable and less reliable groups based on reliability score, where relevant tweet analysis and tweets are categorized into positive, negative, neutral, and compound scores, and labeled as relevant or irrelevant based on a threshold applied to compound scores using preprocessed tweets as features and sentiment labels as targets. USE - System for identifying reliable users in social media during crisis events. ADVANTAGE - The system ensures that information shared during crises is accurate, relevant, and trustworthy, thus mitigating spread of misinformation and enhancing disaster response efforts. The system allows automated system to aid authorities and public by providing reliable tool for informed decision-making and ultimately improving preparedness and response during critical events. The system provides an optimized system for identifying reliable users in social media during crisis events, thus leveraging deep learning and sentiment analysis for efficient user credibility assessment. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is also included for a method for identifying reliable users in social media during crisis events. DESCRIPTION OF DRAWING(S) - The drawing shows a flowchart illustrating a method for identifying reliable users in social media during crisis events. 11Twitter data extraction 12Data collection 13Data pre-processing 14User data analysis 15User behavior analysis
IPC 分类号	G06F-016/35 ; G06F-016/9536 ; G06F-017/30 ; G06F-040/30 ; G06N-003/08 ; G06Q-050/00
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/15304
专题	中国科学院新疆生态与地理研究所
作者单位	UNIV CHENNAI ANNA (UYCH-Non-standard)
推荐引用方式 GB/T 7714	KAVIN B,MANIKANDAN D,KEERTHIKA M,et al. System for identifying reliable users in social media, has K-means clustering module for categorizing users into highly reliable and less reliable groups based on reliability score, where relevant tweet analysis and tweets are categorized into positive and negative. IN202441065565-A[P]. 2024.

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