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Analysis of Open Answers to Survey Questions throughInteractive Clustering and Theme Extraction
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2018 (English)In: Proceedings of Conference on Human Information Interaction & Retrieval, ACM Digital Library, 2018, p. 317-320Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes design principles for and the implementation of Gavagai Explorer—a new application which builds on interactive text clustering to extract themes from topically coherent text sets such as open text answers to surveys or questionnaires.An automated system is quick, consistent, and has full coverage over the study material. A system allows an analyst to analyze more answers in a given time period; provides the same initial results regardless of who does the analysis, reducing the risks of inter-rater discrepancy; and does not risk miss responses due to fatigue or boredom. These factors reduce the cost and increase the reliability of the service. The most important feature, however, is relieving the human analyst from the frustrating aspects of the coding task, freeing the effort to the central challenge of understanding themes. Gavagai Explorer is available on-line at http://explorer.gavagai.se

Place, publisher, year, edition, pages
ACM Digital Library, 2018. p. 317-320
Keywords [en]
Online analytical processing, User interface design
National Category
Human Computer Interaction
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-223645DOI: 10.1145/3176349.3176892OAI: oai:DiVA.org:kth-223645DiVA, id: diva2:1185949
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CHIIR
Note

QC 20180306

Available from: 2018-02-27 Created: 2018-02-27 Last updated: 2018-03-06Bibliographically approved

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Karlgren, Jussi

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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