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Discovering the core semantics of event from social media
Liu, Weidong1; Luo, Xiangfeng1; Gong, Zhiguo2; Xuan, Junyu1; Kou, Ngai Meng2; Xu, Zheng3
2016-11-01
Source PublicationFuture Generation Computer Systems
ISSN0167739X
Volume64Pages:175-185
Abstract

As social media is opening up such as Twitter and Sina Weibo,1large volumes of short texts are flooding on the Web. The ocean of short texts dilutes the limited core semantics of event in cyberspace by redundancy, noises and irrelevant content on the web, which make it difficult to discover the core semantics of event. The major challenges include how to efficiently learn the semantic association distribution by small-scale association relations and how to maximize the coverage of the semantic association distribution by the minimum number of redundancy-free short texts. To solve the above issues, we explore a Markov random field based method for discovering the core semantics of event. This method makes semantics collaborative computation for learning association relation distribution and makes information gradient computation for discovering k redundancy-free texts as the core semantics of event. We evaluate our method by comparing with two state-of-the-art methods on the TAC dataset and the microblog dataset. The results show our method outperforms other methods in extracting core semantics accurately and efficiently. The proposed method can be applied to short text automatic generation, event discovery and summarization for big data analysis. © 2015 Elsevier B.V.

DOI10.1016/j.future.2015.11.023
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Theory & Methods
WOS IDWOS:000381843200016
The Source to ArticleEngineering Village
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Cited Times [WOS]:10   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Shanghai University, Shanghai, China;
2.University of Macau, Macau, China;
3.The Third Research Institute of Ministry of Public Security, Shanghai, China
Recommended Citation
GB/T 7714
Liu, Weidong,Luo, Xiangfeng,Gong, Zhiguo,et al. Discovering the core semantics of event from social media[J]. Future Generation Computer Systems,2016,64:175-185.
APA Liu, Weidong,Luo, Xiangfeng,Gong, Zhiguo,Xuan, Junyu,Kou, Ngai Meng,&Xu, Zheng.(2016).Discovering the core semantics of event from social media.Future Generation Computer Systems,64,175-185.
MLA Liu, Weidong,et al."Discovering the core semantics of event from social media".Future Generation Computer Systems 64(2016):175-185.
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