指導教授：莊裕澤臺灣大學：資訊管理學研究所周家裕Chao, Ka-UKa-UChao2014-11-292018-06-292014-11-292018-06-292014http://ntur.lib.ntu.edu.tw//handle/246246/263491With the progress made in the Web 2.0 technology, people are more likely to share their opinions, status and feelings via social media. But due to the explosion of data in volume on the Internet, people are being overwhelmed by the overloading information and begin to get lost and confused. Since people are used to find and read the online reviews before making their further decisions recently, a tool which is able to summarize the opinion data and reveal the explicit social image of a particular target should be proposed and introduced. According to the previous work, Ting-Ying Huang has proposed a visual representation which is able to display the overall summarization of targets’ reputations. However, in most situations, people are likely to be interested in a specific aspect of individuals. Therefore, some additional visual approaches should be proposed to gain the meaningful clues. In this thesis, we aim at refining both the reputation evaluation methods and the visual representations which are suggested by Ting-Ying Huang. To accurately estimate the explicit social images of several particular targets, we analyze the opinion data at sentence level by incorporating the knowledge of Natural Language Processing. Additionally, we propose several static visualizations to reveal the detailed information such as the temporal evolutions, topical summarizations, content diversity among various features and social mediums. Moreover, to enhance the graphical perception and comprehension, we create an animated bubble chart which is able to exhibit the trends and changing patterns over time. Furthermore, we offer a fully interactive mean for users to examine and explore the opinion data via any viewing aspects.1. Introduction ………………………………………………………………………….... 1 1.1 Backgrounds and Motivations ………………………………………………. 1 1.2 Our Contributions ………………………………………………………….... 3 2. Related Works ……………………………………………………………………….... 4 2.1 The Definitions of Reputation …………………………………………….… 4 2.2 Opinion Analysis and Feature Extraction …………………………………….7 2.2.1 Opinion Analysis ………………………………………………….. 7 2.2.2 Chinese words analysis ………………………………………….… 8 2.2.3 Feature Extraction …………………………………………….…… 9 2.2.4 Brief Summary …………………………………………………… 10 2.3 Information Visualization ………………………………………………….. 11 2.3.1 Textual Data and Document Visualizations ……………………... 12 2.3.2 Temporal Data Visualizations ……………………………………. 16 2.3.3 Visualizations of Social Network ………………………………... 18 2.3.4 Brief Summary …………………………………………………… 23 2.4 Animated Visualization ……………………………………………………. 24 2.4.1 Introduction of Animated Visualization …………………………. 24 2.4.2 The applications of Animated Visualization ……………………... 26 2.4.3 Brief Summary …………………………………………………… 30 3. Methodology ………………………………………………………………………… 31 3.1 Method Overview and Data Pre-processing ……………………………….. 31 3.2 Opinion Analysis Method ………………………………………………..… 33 3.3 Estimations of Reputation and Social Image ………………………………. 35 3.4. Visual Analysis ………………………………………………………….… 37 3.4.1 To Display the Overall Summarization ………………………..… 37 3.4.2 Animated Visualization ………………………………………..… 38 3.4.3 To Display the Temporal Information …………………………… 40 3.4.3.1 To Display the Temporal Hierarchical Structures …...… 40 3.4.3.2 Using Timeline to Display the Evolutions …………...… 41 3.4.4 Textual Data Summarization …………………………………….. 43 3.4.5 Variations among Different Mediums …………………................ 44 3.4.6 Content Diversity among Various Features …………………….... 45 3.4.7 Interactive Force Bubble Chart …………………………………... 46 3.5 Summary ………………………………………………………………….... 48 4. Results and Discussions ……………………………………………………………... 49 4.1 Experimental Data …………………………………………………………. 49 4.2 Experiments ………………………………………………………………... 50 4.2.1 Case 1: Cell Phones …………………………………………....… 50 4.2.2 Case 2: Movies ………………………………………………...…. 67 4.3 User Interviews …………………………………………………………..… 81 5. Conclusions ……………………………………………………………….…………. 85 5.1 Conclusions ………………………………………………………………… 85 5.2 Suggestions and Limitations ……………………………………………..… 86 References ……………………………………………………………………………...… 894003592 bytesapplication/pdf論文公開時間：2014/08/21論文使用權限：同意有償授權(權利金給回饋學校)評價意見分析資訊視覺化動畫thesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/263491/1/ntu-103-R99725047-1.pdf