Word-of-Mouth Understanding: Entity-Centric Multimodal Aspect-Opinion Mining in Social Media
文献类型：期刊论文
| 作者 | Fang, Quan1 ; Xu, Changsheng1; Sang, Jitao1; Hossain, M. Shamim2; Muhammad, Ghulam3
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| 刊名 | IEEE TRANSACTIONS ON MULTIMEDIA
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| 出版日期 | 2015-12-01 |
| 卷号 | 17期号:12页码:2281-2296 |
| 关键词 | Application knowledge mining probabilistic topic model |
| 英文摘要 | Most 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications |
| 研究领域[WOS] | Computer Science ; Telecommunications |
| 关键词[WOS] | IMAGES |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000365315500015 |
| 公开日期 | 2016-02-26 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/10521]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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