期刊
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
卷 21, 期 4, 页码 536-557出版社
ZHEJIANG UNIV PRESS
DOI: 10.1631/FITEE.1900631
关键词
Tourism user-generated content; Information visualization; Destination image; Sentiment visualization; Sequence visualization; TP399
类别
资金
- Science AMP
- Technology Department of Sichuan Province, China [2018GZ0171]
- Chengdu Science and Technology Bureau, China [2015-HM01-00484-SF]
The study of tourism destination images is of great significance in the tourism discipline. Tourism user-generated content (UGC), i.e., the feedback on tourism websites, provides rich information for constructing a destination image. However, it is difficult for tourism researchers to obtain a relatively complete and intuitive destination image due to the unintuitive destination image display, the significant variance in departure time and data length, and the destination type in UGC. We propose TDIVis, a carefully designed visual analytics system, aimed at obtaining a relatively comprehensive destination image. Specifically, a keyword-based sentiment visualization method is proposed to associate the cognitive image with the emotional image, and by this method, both time evolution analysis and classification analysis are considered; a multi-attribute association double sequence visualization method is proposed to associate two different types of text sequences and provide a dynamic visual encoding interaction method for the multi-attribute characteristics of sequences. The effectiveness and usability of TDIVis are demonstrated through four cases and a user study.
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