Computer Science ›› 2019, Vol. 46 ›› Issue (10): 14-18.doi: 10.11896/jsjkx.190100087

• Big Data & Data Science • Previous Articles     Next Articles

Sunburst Visualization for Comment Text Data

YI Xiao-qun, LI Tian-rui, CHEN Chao   

  1. (School of Information Science and Technology,Southwest Jiaotong University,Chengdu 611756,China)
    (Institute of Artificial Intelligence,Southwest Jiaotong University,Chengdu 611756,China)
    (National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu 611756,China)
  • Received:2019-01-09 Revised:2019-04-20 Online:2019-10-15 Published:2019-10-21

Abstract: Sunburst is a kind of modern pie chart.It goes beyond the traditional pie chart and ring chart.It can not only express the proportion of data,but also express the clear hierarchy and attribution relationship,and display the data composition with the hierarchical structure of father and son.When Sunburst is used to visualize text data,it can not fully display the entity relationship and emotional bias.In addition,the more hierarchies of the Sunburst is involved,the lower readability of the information will be.In view of the above problems,this paper proposed the following improvements to the traditional Sunburst.Firstly,the overlapping of the same level adjacent arc is designed to show the relation of the entity in the text.Sencondly,the combination of Sunburst and histogram is put forward to show the emotional bias of the comment text.The color width of the arc in histogram chart expresses the satisfaction of the comment on a certain aspect.Thirdly,the data are rearranged optimally,including that for the overall consideration,the protruding part is placed in the adjacent position to save space,and the local data is optimized and rearranged to make the outermost nodes as high and low as possible,so as to improve the sparsity and facilitate observation.The experimental results show that the improved Sunburst can provide more comprehensive and clear visualization of comment text,and provide more flexible and personalized visualization display for users.

Key words: Visualization, Sunburst, Emotive tendency, Data rearrangement, Interaction

CLC Number: 

  • TP391
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