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PreechVis: Visual profiling using multiple-word combinationsoa mark
  • Mun, Seongmin ;
  • Choi, Gyeongcheol ;
  • Desagulier, Guillaume ;
  • Lee, Kyungwon
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Publication Year
2018-01-01
Journal
VISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Publisher
SciTePress
Citation
VISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Vol.3, pp.97-107
Keyword
CoordinatedData ClusteringData FilteringDocument DataHierarchy DataInteraction DesignMultiple ViewsRequirement AnalysesTaskTextVisualization in the Humanities
Mesh Keyword
CoordinatedData clusteringData filteringDocument DataHierarchy DataInteraction designMultiple viewsRequirement analysisTaskText
All Science Classification Codes (ASJC)
Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignArtificial Intelligence
Abstract
Words in the corpus include features and information, and the visualizing of such words can improve the user's understanding of them. Words in text corpus may be consist of one-word or they may be a combination of words that together, constitute a word. The latter is referred to as a multiword expression. And if we analyze both single word and multiword with visualization, we can get more accurate results and more information than we analyze only single word from corpus. An interactive visualization can be useful for analyzing multiword expressions, because the following features are of interest to linguistics scholars: (1) Showing the combinatory POS pattern of a hierarchical form, (2) exploring results according to the POS pattern, and (3) searching the source corpus for the analysis-result verification. Therefore, we propose PreechVis, an interactive-visualization tool that includes all of the requisite functions for an analysis for which multiple words (http://202.30.24.167:3010/PreechVisMWE) are utilized. For the present study, we used a total of 957 speeches of 43 U.S. Presidents from George Washington to Barack Obama as the corpus data. PreechVis is divided into two views. In the first view, the system consists of a combination of Sunburst and RadVis. Through the circular Sunburst, we present the POS and its combination patterns for each gram. In RadVis, the Presidents were positioned according to their frequency value. In addition, when the President was selected, the frequency value was displayed on Sunburst to improve the user's understanding. In the second view, the user can simultaneously confirm and verify the details of the result using the Wordcloud. The two different views are synchronized with each other and are changed by the selected grams, issues, and Presidents. In the experiments and case studies on the U.S.-President speech data, we verified the effectiveness and usability of PreechVis.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36338
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85047961663&origin=inward
DOI
https://doi.org/10.5220/0006615500970107
Journal URL
http://www.scitepress.org/DigitalLibrary/HomePage.aspx
Type
Conference
Funding
This work was supported by the 2017 BK21 Program, Ajou University and National Research Foundation of Korea (NRF2015S1A5B6037107).
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