visa: a visual sentiment analysis system

ISCAS OpenIR

	visa: a visual sentiment analysis system
	Duan Dongxu; Qian Weihong; Pan Shimei; Shi Lei; Lin Chuang
	2012
会议名称	5th International Symposium on Visual Information Communication and Interaction, VINCI 2012
会议录名称	ACM International Conference Proceeding Series
页码	22-28
会议日期	September 27, 2012 - September 28, 2012
会议地点	Hangzhou, China
收录类别	EI
ISBN	9781450317825
部门归属	(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
摘要	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.; 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.
关键词	Communication Human Computer Interaction Mining Visualization
主办者	State Key Lab of CAD and CG; Zhejiang University
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15830
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Duan Dongxu,Qian Weihong,Pan Shimei,et al. visa: a visual sentiment analysis system[C],2012:22-28.