## Bridging Text Visualization and Mining : A Task-Driven Survey

2019
##### Authors
Liu, Shixia
Wang, Xiting
Collins, Christopher
Dou, Wenwen
Ouyang, Fangxin
Jiang, Liu
Journal article
Published
##### Published in
IEEE Transactions on Visualization and Computer Graphics ; 25 (2019), 7. - pp. 2482-2504. - ISSN 1077-2626. - eISSN 1941-0506
##### 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.
##### Subject (DDC)
004 Computer Science
##### Cite This
ISO 690LIU, Shixia, Xiting WANG, Christopher COLLINS, Wenwen DOU, Fangxin OUYANG, Mennatallah EL-ASSADY, Liu JIANG, Daniel A. KEIM, 2019. Bridging Text Visualization and Mining : A Task-Driven Survey. In: IEEE Transactions on Visualization and Computer Graphics. 25(7), pp. 2482-2504. ISSN 1077-2626. eISSN 1941-0506. Available under: doi: 10.1109/TVCG.2018.2834341
BibTex
@article{Liu2019-07-01Bridg-42733,
year={2019},
doi={10.1109/TVCG.2018.2834341},
title={Bridging Text Visualization and Mining : A Task-Driven Survey},
number={7},
volume={25},
issn={1077-2626},
journal={IEEE Transactions on Visualization and Computer Graphics},
pages={2482--2504},
author={Liu, Shixia and Wang, Xiting and Collins, Christopher and Dou, Wenwen and Ouyang, Fangxin and El-Assady, Mennatallah and Jiang, Liu and Keim, Daniel A.}
}

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<dcterms:abstract xml:lang="eng">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.</dcterms:abstract>
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Yes
Yes