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Title:
visa: a visual sentiment analysis system
Author: Duan Dongxu ; Qian Weihong ; Pan Shimei ; Shi Lei ; Lin Chuang
Source: ACM International Conference Proceeding Series
Conference Name: 5th International Symposium on Visual Information Communication and Interaction, VINCI 2012
Conference Date: September 27, 2012 - September 28, 2012
Issued Date: 2012
Conference Place: Hangzhou, China
Keyword: Communication ; Human computer interaction ; Mining ; Visualization
Indexed Type: EI
ISBN: 9781450317825
Department: (1) IBM Research - China 19 Zhongguancun Software Park Beijing 100193 China; (2) IBM T. J. Watson Research Center 19 Skyline Drive Hawthorne NY 10578 United States; (3) Institute of Software Chinese Academy of Sciences Beijing 100190 China; (4) Department of Computer Science and Technology Tsinghua University Beijing 100084 China
Sponsorship: State Key Lab of CAD and CG; Zhejiang University
Abstract: Sentiment plays a critical role in many information-centric business scenarios. The opinion mining methods proposed in the recent decade have formed a solid foundation to investigate the sentiment analysis tasks, but are often too complicated and scattered to serve the needs of real customers. We introduce the VISA system in this paper, which applies the visualization technology to synthesize the sentiment analysis results and present to the end user in an interactive manner. VISA builds on the generic sentiment tuple based data model and consumes the different facets of sentiment data with coordinated multiple views, hence is scalable to work with most of existing sentiment analysis engines on various application domains. We showcase the usage of VISA in a real world example and demonstrate the system's effectiveness through the user trail in finding an appropriate hotel for his family trip. © 2012 ACM.
English Abstract: Sentiment plays a critical role in many information-centric business scenarios. The opinion mining methods proposed in the recent decade have formed a solid foundation to investigate the sentiment analysis tasks, but are often too complicated and scattered to serve the needs of real customers. We introduce the VISA system in this paper, which applies the visualization technology to synthesize the sentiment analysis results and present to the end user in an interactive manner. VISA builds on the generic sentiment tuple based data model and consumes the different facets of sentiment data with coordinated multiple views, hence is scalable to work with most of existing sentiment analysis engines on various application domains. We showcase the usage of VISA in a real world example and demonstrate the system's effectiveness through the user trail in finding an appropriate hotel for his family trip. © 2012 ACM.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15830
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Duan Dongxu,Qian Weihong,Pan Shimei,et al. visa: a visual sentiment analysis system[C]. 见:5th International Symposium on Visual Information Communication and Interaction, VINCI 2012. Hangzhou, China. September 27, 2012 - September 28, 2012.
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