Integrating Deep Learning Approaches for Identifying News Reprint Relation

doi:10.1109/ACCESS.2018.2882624

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 互联网大数据与信息安全

	Integrating Deep Learning Approaches for Identifying News Reprint Relation
	Luo, Yin1 ; Wang, Fangfang 2,3; Chen, Jun 4; Wang, Lei3,5 ; Zeng, Daniel Dajun3,6,7
发表期刊	IEEE ACCESS
ISSN	2169-3536
	2018
卷号	6 页码:72163-72172
通讯作者	Wang, Fangfang(fangfang.wang@ia.ac.cn)
摘要	With the rapid development of big data and new media technologies, a large amount of original news is generated and reprinted on the Internet via news portals. Identifying news reprint relations is of great importance for the analysis of news diffusion patterns and copyright protection. However, the amount of news data on the Internet creates a huge challenge for efficiently identifying news reprint relation. Some existing studies focus on computing the similarity of the full text of news reports, which is not always effective, because some reprints only excerpt some sentences of the original news reports. The core challenge of improving identification accuracy is excavating the potential semantic relevance between news articles at the sentence level. Inspired by deep learning and semantic-based text representation models, this paper proposes an approach for identifying news reprint relation by integrating deep learning approaches. First, news reports that are not related to the topic of the original news report are removed via topic correlation mining. Then, the potential semantic relevance is excavated at the sentence level through the integration of semantic analysis methods, and reprint relations are identified between news reports. The performance of the approach is empirically evaluated using a real-world dataset. Experimental results show that the semantic analysis model integration allows us to mine in-depth semantic associations between news stories and accurately identify news reprint relations. These results benefit news diffusion pattern analysis and copyright protection.
关键词	Deep learning diffusion pattern news reprint relation identification semantic relevance word embedding
DOI	10.1109/ACCESS.2018.2882624
关键词[WOS]	MEDIA
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2016QY02D0305] ; National Natural Science Foundation of China[61671450] ; National Natural Science Foundation of China[71621002] ; Key Research Program of the Chinese Academy of Sciences[ZDRW-XH-2017-3] ; National Key R&D Program of China[2016QY02D0305] ; National Natural Science Foundation of China[61671450] ; National Natural Science Foundation of China[71621002] ; Key Research Program of the Chinese Academy of Sciences[ZDRW-XH-2017-3]
项目资助者	National Key R&D Program of China ; National Natural Science Foundation of China ; Key Research Program of the Chinese Academy of Sciences
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000453702400001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/25652
专题	多模态人工智能系统全国重点实验室_互联网大数据与信息安全
通讯作者	Wang, Fangfang
作者单位	1.Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China 2.Beijing Wenge Technol Co Ltd, Beijing 100080, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Xinhua News Agcy, Commun Technol Bur, Beijing 100803, Peoples R China 5.State Informat Ctr, Beijing 100045, Peoples R China 6.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100049, Peoples R China 7.Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Luo, Yin,Wang, Fangfang,Chen, Jun,et al. Integrating Deep Learning Approaches for Identifying News Reprint Relation[J]. IEEE ACCESS,2018,6:72163-72172.
APA	Luo, Yin,Wang, Fangfang,Chen, Jun,Wang, Lei,&Zeng, Daniel Dajun.(2018).Integrating Deep Learning Approaches for Identifying News Reprint Relation.IEEE ACCESS,6,72163-72172.
MLA	Luo, Yin,et al."Integrating Deep Learning Approaches for Identifying News Reprint Relation".IEEE ACCESS 6(2018):72163-72172.