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Analysis of Open Answers to Survey Questions through Interactive Clustering and Theme Extraction
Gavagai, Sweden .
Gavagai, Sweden .
Gavagai, Sweden.
Gavagai, Sweden .
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2018 (English)Conference paper, Published paper (Other academic)
Abstract [en]

Œis paper describes design principles for and the implementationof Gavagai Explorer—a new application which builds on interactivetext clustering to extract themes from topically coherent text setssuch as open text answers to surveys or questionnaires.An automated system is quick, consistent, and has full coverageover the study material. A system allows an analyst to analyze moreanswers in a given time period; provides the same initial resultsregardless of who does the analysis, reducing the risks of interraterdiscrepancy; and does not risk miss responses due to fatige orboredom. Œese factors reduce the cost and increase the reliabilityof the service. Œe most important feature, however, is relievingthe human analyst from the frustrating aspects of the coding task,freeing the e‚ort to the central challenge of understanding themes.Gavagai Explorer is available on-line at hŠp://explorer.gavagai.se

Place, publisher, year, edition, pages
2018. p. 317-320
Keywords [en]
Information systems → Clustering; Online analytical processing;
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-34879DOI: 10.1145/3176349.3176892ISBN: 978-1-4503-4925-3 (print)OAI: oai:DiVA.org:ri-34879DiVA, id: diva2:1240491
Conference
Proceedings of the 2018 Conference on Human Information Interaction & Retrieval. New Brunswick, NJ, USA
Available from: 2018-08-21 Created: 2018-08-21 Last updated: 2019-03-06Bibliographically approved

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Sahlgren, Magnus

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Total: 13 hits
CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • de-DE
  • en-GB
  • en-US
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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