research-article

Evoq: a Visualization Tool to Support Structural Analysis of Text Documents

Authors:

Antoine Clarinval,

Isabelle Linden,

Anne Wallemacq,

Bruno DumasAuthors Info & Claims

DocEng '18: Proceedings of the ACM Symposium on Document Engineering 2018

Article No.: 27, Pages 1 - 10

https://doi.org/10.1145/3209280.3209533

Published: 28 August 2018 Publication History

Abstract

Structural analysis is a text analysis technique that helps uncovering the association and opposition relationships between the terms of a text. It is used in particular in the field of humanities and social sciences. This technique is usually applied by hand with pen and paper as support. However, as any combination of words in the raw text may be considered as an association or opposition relationship, applying the technique by hand in a readable way can quickly prove overwhelming for the analyst. In this paper, we propose Evoq, an application that provides support to structural analysts in their work. Furthermore, we present interactive visualizations representing the relationships between terms. These visualizations help create alternative representations of text, as advocated by structural analysts. We conducted two usability evaluations that showed great potential for Evoq as a structural analysis support tool and for the use of alternative representations of texts in the analysis.

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Cited By

Jiang PRayan JDow SXia H(2023)Graphologue: Exploring Large Language Model Responses with Interactive DiagramsProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606737(1-20)Online publication date: 29-Oct-2023
https://dl.acm.org/doi/10.1145/3586183.3606737
Cauz MAlbert JWallemacq ALinden IDumas BHealy PBilauca MBonnici A(2021)Shock waveProceedings of the 21st ACM Symposium on Document Engineering10.1145/3469096.3474925(1-4)Online publication date: 16-Aug-2021
https://dl.acm.org/doi/10.1145/3469096.3474925
Linden I(2021)30 Years Business Intelligence: FromData Analytics to Big DataEURO Working Group on DSS10.1007/978-3-030-70377-6_7(115-128)Online publication date: 10-Aug-2021
https://doi.org/10.1007/978-3-030-70377-6_7
Show More Cited By

Index Terms

Evoq: a Visualization Tool to Support Structural Analysis of Text Documents
1. Applied computing
  1. Document management and text processing
2. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Information visualization

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cover image ACM Conferences

DocEng '18: Proceedings of the ACM Symposium on Document Engineering 2018

August 2018

311 pages

ISBN:9781450357692

DOI:10.1145/3209280

Copyright © 2018 ACM.

Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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SIGDOC: ACM Special Interest Group on Systems Documentation

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 August 2018

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DocEng '18

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SIGWEB

DocEng '18: ACM Symposium on Document Engineering 2018

August 28 - 31, 2018

NS, Halifax, Canada

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Overall Acceptance Rate 194 of 564 submissions, 34%

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Cited By

Jiang PRayan JDow SXia H(2023)Graphologue: Exploring Large Language Model Responses with Interactive DiagramsProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606737(1-20)Online publication date: 29-Oct-2023
https://dl.acm.org/doi/10.1145/3586183.3606737
Cauz MAlbert JWallemacq ALinden IDumas BHealy PBilauca MBonnici A(2021)Shock waveProceedings of the 21st ACM Symposium on Document Engineering10.1145/3469096.3474925(1-4)Online publication date: 16-Aug-2021
https://dl.acm.org/doi/10.1145/3469096.3474925
Linden I(2021)30 Years Business Intelligence: FromData Analytics to Big DataEURO Working Group on DSS10.1007/978-3-030-70377-6_7(115-128)Online publication date: 10-Aug-2021
https://doi.org/10.1007/978-3-030-70377-6_7
Linden IWallemacq ADumas BDeville GClarinval ACauz M(2020)Text as Semantic Fields: Integration of an Enriched Language Conception in the Text Analysis Tool Evoq$$^{{{\textregistered }}}$$Research Challenges in Information Science10.1007/978-3-030-50316-1_36(543-548)Online publication date: 25-Jun-2020
https://doi.org/10.1007/978-3-030-50316-1_36

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