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Rumor detection based on topic classification and multi-scale feature fusion

文献类型：期刊论文

作者Tan,Li1; Ma,Zihao1; Cao,Juan2; Lv,Xinyue1
刊名Journal of Physics: Conference Series
出版日期2020-07-01
卷号1601期号:3
ISSN号1742-6588
DOI10.1088/1742-6596/1601/3/032032
英文摘要Abstract In recent years, with the rapid development of Internet technology, the spread of network rumors has become one of the important obstacles to maintain the stable development of social networks and ensure the public security. Most of the existing researches focus on the detection of rumors in general fields, ignoring the differences among different fields. According to the characteristics of rumor in the health field, this paper proposes a rumor detection method based on topic classification and multi-scale fusion. Different methods are used to extract features from different sub datasets of different scales, taking into account the overall, inter topic, and intra subject correlation and differences, and then judge after feature fusion. The experimental results show that this method is better than the general detection method in the data set of health field, and has some improvement compared with the algorithm in the same field.
语种英语
出版者IOP Publishing
WOS记录号IOP:1742-6588-1601-3-032032
源URL[http://119.78.100.204/handle/2XEOYT63/16141]  
专题中国科学院计算技术研究所期刊论文_英文
作者单位1.School of computer and information engineering, Beijing University of technology and industry, Beijing 100048
2.Institute of computing technology, Chinese Academy of Sciences, Beijing 100190
推荐引用方式
GB/T 7714		 Tan,Li,Ma,Zihao,Cao,Juan,et al. Rumor detection based on topic classification and multi-scale feature fusion[J]. Journal of Physics: Conference Series,2020,1601(3).
APA Tan,Li,Ma,Zihao,Cao,Juan,&Lv,Xinyue.(2020).Rumor detection based on topic classification and multi-scale feature fusion.Journal of Physics: Conference Series,1601(3).
MLA Tan,Li,et al."Rumor detection based on topic classification and multi-scale feature fusion".Journal of Physics: Conference Series 1601.3(2020).

入库方式： OAI收割

来源：计算技术研究所

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