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

doi:10.1088/1742-6596/1601/3/032032

	Rumor detection based on topic classification and multi-scale feature fusion
	Tan,Li 1; Ma,Zihao 1; Cao,Juan 2; Lv,Xinyue 1
	2020-07-01
发表期刊	Journal of Physics: Conference Series
ISSN	1742-6588
卷号	1601 期号:3
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.
DOI	10.1088/1742-6596/1601/3/032032
语种	英语
WOS记录号	IOP:1742-6588-1601-3-032032
出版者	IOP Publishing
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/16142
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).