Title
Bridging Text Visualization and Mining: A Task-Driven Survey.
Abstract
Visual text analytics has recently emerged as one of the most prominent topics in both academic research and the commercial world. To provide an overview of the relevant techniques and analysis tasks, as well as the relationships between them, we comprehensively analyzed 263 visualization papers and 4,346 mining papers published between 1992-2017 in two fields: visualization and text mining. From the analysis, we derived around 300 concepts (visualization techniques, mining techniques, and analysis tasks) and built a taxonomy for each type of concept. The co-occurrence relationships between the concepts were also extracted. Our research can be used as a stepping-stone for other researchers to 1) understand a common set of concepts used in this research topic; 2) facilitate the exploration of the relationships between visualization techniques, mining techniques, and analysis tasks; 3) understand the current practice in developing visual text analytics tools; 4) seek potential research opportunities by narrowing the gulf between visualization and mining techniques based on the analysis tasks; and 5) analyze other interdisciplinary research areas in a similar way. We have also contributed a web-based visualization tool for analyzing and understanding research trends and opportunities in visual text analytics.
Year
DOI
Venue
2019
10.1109/TVCG.2018.2834341
IEEE transactions on visualization and computer graphics
Keywords
Field
DocType
Visualization,Data visualization,Task analysis,Text mining,Taxonomy,Market research
Data science,Text mining,Visualization,Computer science,Bridging (networking),Theoretical computer science,Creative visualization
Journal
Volume
Issue
ISSN
25
7
1941-0506
Citations 
PageRank 
References 
16
0.58
217
Authors
8
Search Limit
100217
Name
Order
Citations
PageRank
Shixia Liu1209582.41
Xiting Wang218514.45
Christopher Collins3103749.74
Wenwen Dou445929.03
Fangxin Ouyang5261.00
Mennatallah El-Assady612013.73
Liu Jiang7251.36
Daniel A. Keim877041141.60