Task-based Quantitative Evaluation of the Concordance Mosaic Visualization

Shane Sheehan*, Masood Masoodian, Saturnino Luz

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Researchers working in areas such as lexicography, translation studies, and computational linguistics, use a combination of automated and semi-Automated tools to analyze the content of text corpora. Concordancing-or the arranging of passages of a textual corpus in alphabetical order according to user-defined keywords-is one of the oldest and still most widely used forms of text analysis. Concordance Mosaic is an interactive concordance visualization which emphasises quantitative information such as word frequency. While Concordance Mosaic is in active use by humanities scholars, no quantitative evaluation of the technique exists. In this paper, the Concordance Mosaic is quantitatively evaluated in comparison to a typical concordance browser. The comparison is evaluated using speed and accuracy on identified corpus analysis actions.

Original languageEnglish
Title of host publicationProceedings of the 26th International Conference Information Visualisation, IV 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9781665490078
Publication statusPublished - 1 Jul 2022
Event26th International Conference Information Visualisation, IV 2022 - Vienna, Austria
Duration: 19 Jul 202222 Jul 2022

Publication series

NameProceedings of the International Conference on Information Visualisation
ISSN (Print)1093-9547


Conference26th International Conference Information Visualisation, IV 2022

Keywords / Materials (for Non-textual outputs)

  • document data visualization
  • quantitative evaluation
  • text visualization
  • visual knowledge discovery
  • Visualization in humanities


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