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Word-of-Mouth Understanding: Entity-Centric Multimodal Aspect-Opinion Mining in Social Media
Fang, Quan1; Xu, Changsheng1; Sang, Jitao1; Hossain, M. Shamim2; Muhammad, Ghulam3
Source PublicationIEEE TRANSACTIONS ON MULTIMEDIA
2015-12-01
Volume17Issue:12Pages:2281-2296
SubtypeArticle
AbstractMost existing approaches on aspect-opinion mining focus on the text domain and cannot be applied to social media where the aspects are essentially multimodal and the opinions depend on the specific aspects. To address the problem of multimodal aspect-opinion mining for entities by leveraging multiple cross-collection sources in social media, in this paper we propose a multimodal aspect-opinion model (mmAOM) considering both user-generated photos and textual documents to simultaneously capture correlations between textual and visual modalities, as well as associations between aspects and opinions. By identifying the aspects and the corresponding opinions related to entities, we apply the mmAOM to entity association visualization and multimodal aspect-opinion retrieval. We have conducted extensive experiments on real-world datasets of entities including Flickr photos, Tripadvisor reviews, and news articles. Qualitative and quantitative evaluation results have validated the effectiveness of the multimodal aspect-opinion mining model, and demonstrated the utility of the derived aspects and opinions from mmAOM in applications of entity association visualization and aspect-opinion retrieval.
KeywordApplication Knowledge Mining Probabilistic Topic Model
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TMM.2015.2491019
WOS KeywordIMAGES
Indexed BySCI
Language英语
Funding OrganizationNational Basic Research Program of China(2012CB316304) ; National Natural Science Foundation of China(61225009 ; Beijing Natural Science Foundation(4131004) ; Deanship of Scientific Research, King Saud University, Riyadh, Saudi Arabia(RGP-1436-023) ; 61432019 ; 61332016 ; 61303176)
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS IDWOS:000365315500015
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10521
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.King Saud Univ, Coll Comp & Informat Sci, Dept Software Engn, Riyadh 11543, Saudi Arabia
3.King Saud Univ, Coll Comp & Informat Sci, Dept Comp Engn, Riyadh 11543, Saudi Arabia
Recommended Citation
GB/T 7714
Fang, Quan,Xu, Changsheng,Sang, Jitao,et al. Word-of-Mouth Understanding: Entity-Centric Multimodal Aspect-Opinion Mining in Social Media[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2015,17(12):2281-2296.
APA Fang, Quan,Xu, Changsheng,Sang, Jitao,Hossain, M. Shamim,&Muhammad, Ghulam.(2015).Word-of-Mouth Understanding: Entity-Centric Multimodal Aspect-Opinion Mining in Social Media.IEEE TRANSACTIONS ON MULTIMEDIA,17(12),2281-2296.
MLA Fang, Quan,et al."Word-of-Mouth Understanding: Entity-Centric Multimodal Aspect-Opinion Mining in Social Media".IEEE TRANSACTIONS ON MULTIMEDIA 17.12(2015):2281-2296.
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