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Adaptive Slide Window-Based Feature Cognition for Deceptive Information Identification

文献类型：期刊论文

作者Yang, Haolin1,2; Xu, Zhiwei1,2; Liu, Limin1; Tian, Jie3; Zhang, Yujun2
刊名IEEE ACCESS
出版日期2020
卷号8页码:134311-134323
关键词Feature extraction Semantics Adaptation models Data mining Cognition Convolutional neural networks Business Deceptive information cognition adaptive slide window semantic structure representation trivial sentence element elimination convolutional neural network
ISSN号2169-3536
DOI10.1109/ACCESS.2020.3011072
英文摘要Numerous false information come up to be the primary threat for regular communication and cooperation, which always have similar expressions and diffusion patterns with regular information. To recognize deceptive information and alleviate their threat against business and economy, a number of research approaches for deceptive information identification have been proposed. However, these approaches suffer from their rough feature extraction processes, and thus cannot distinguish deceptive information from others. We introduce an adaptive slide-window based feature extraction, which captures semantic features and eliminates the trivial parts from them with adaptive slide windows on sentence elements, in order to facilitate accurate semantic structure representation of various texts. In addition, we propose a deep deceptive information identification model based on the proposed feature extraction scheme. Experiments on three real-world datasets demonstrate that the proposed deep deceptive information identification model can distinguish deceptive information from regular information accurately by extracting the significant features instead of trivial common expressions.
资助项目National Key Research and Development Program of China[2018YFB1800403] ; National Key Research and Development Program of China[2016YFE0121500] ; National Science Foundation of China[61902382] ; National Science Foundation of China[61972381] ; National Science Foundation of China[61672500] ; National Science Foundation of China[61962045] ; National Science Foundation of China[61502255] ; National Science Foundation of China[61650205] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDC02030500] ; Natural Science Foundation of Inner Mongolia Autonomous Region[2017MS(LH)0601] ; Natural Science Foundation of Inner Mongolia Autonomous Region[2018MS06003]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000554355400001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/15867]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Xu, Zhiwei
作者单位1.Inner Mongolia Univ Technol, Coll Data Sci & Applicat, Hohhot 100080, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
3.New Jersey Inst Technol, Dept Comp Sci, Newark, NJ 07102 USA
推荐引用方式
GB/T 7714		 Yang, Haolin,Xu, Zhiwei,Liu, Limin,et al. Adaptive Slide Window-Based Feature Cognition for Deceptive Information Identification[J]. IEEE ACCESS,2020,8:134311-134323.
APA Yang, Haolin,Xu, Zhiwei,Liu, Limin,Tian, Jie,&Zhang, Yujun.(2020).Adaptive Slide Window-Based Feature Cognition for Deceptive Information Identification.IEEE ACCESS,8,134311-134323.
MLA Yang, Haolin,et al."Adaptive Slide Window-Based Feature Cognition for Deceptive Information Identification".IEEE ACCESS 8(2020):134311-134323.

入库方式： OAI收割

来源：计算技术研究所

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