Towards Accurate Deceptive Opinions Detection Based on Word Order-Preserving CNN

doi:10.1155/2018/2410206

	Towards Accurate Deceptive Opinions Detection Based on Word Order-Preserving CNN
	Zhao, Siyuan 1; Xu, Zhiwei 1,2; Liu, Limin 1; Guo, Mengjie 1; Yun, Jing 1
	2018
发表期刊	MATHEMATICAL PROBLEMS IN ENGINEERING
ISSN	1024-123X
页码	9
摘要	Convolutional neural network (CNN) has revolutionized the field of natural language processing, which is considerably efficient at semantics analysis that underlies difficult natural language processing problems in a variety of domains. The deceptive opinion detection is an important application of the existing CNN models. The detection mechanism based on CNN models has better self-adaptability and can effectively identify all kinds of deceptive opinions. Online opinions are quite short, varying in their types and content. In order to effectively identify deceptive opinions, we need to comprehensively study the characteristics of deceptive opinions and explore novel characteristics besides the textual semantics and emotional polarity that have been widely used in text analysis. In this paper, we optimize the convolutional neural network model by embedding the word order characteristics in its convolution layer and pooling layer, which makes convolutional neural network more suitable for short text classification and deceptive opinions detection. The TensorFlow-based experiments demonstrate that the proposed detection mechanism achieves more accurate deceptive opinion detection results.
DOI	10.1155/2018/2410206
收录类别	SCI
语种	英语
资助项目	Natural Science Foundation of China[61540004] ; Natural Science Foundation of China[61502255] ; Natural Science Foundation of China[61650205] ; 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	Engineering ; Mathematics
WOS类目	Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS记录号	WOS:000446693500001
出版者	HINDAWI LTD
引用统计	被引频次：20[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/4887
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 Informat Engn, Hohhot, Inner Mongolia, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Siyuan,Xu, Zhiwei,Liu, Limin,et al. Towards Accurate Deceptive Opinions Detection Based on Word Order-Preserving CNN[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2018:9.
APA	Zhao, Siyuan,Xu, Zhiwei,Liu, Limin,Guo, Mengjie,&Yun, Jing.(2018).Towards Accurate Deceptive Opinions Detection Based on Word Order-Preserving CNN.MATHEMATICAL PROBLEMS IN ENGINEERING,9.
MLA	Zhao, Siyuan,et al."Towards Accurate Deceptive Opinions Detection Based on Word Order-Preserving CNN".MATHEMATICAL PROBLEMS IN ENGINEERING (2018):9.