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Aspect grid: A visualization for iteratively refining aspect-based queries on document collections

dc.contributor.authorHaag, Florian
dc.contributor.authorHan, Qi
dc.contributor.authorJohn, Markus
dc.contributor.authorErtl, Thomas
dc.contributor.editorPlödereder, E.
dc.contributor.editorGrunske, L.
dc.contributor.editorSchneider, E.
dc.contributor.editorUll, D.
dc.date.accessioned2017-07-26T11:00:58Z
dc.date.available2017-07-26T11:00:58Z
dc.date.issued2014
dc.description.abstractSearch results comprising of unstructured documents are traditionally displayed as plain lists, whereas the formulation of complex queries can be aided by comprehensive visualizations that highlight relevant attributes of the search results. We propose a visualization concept that incorporates a sentiment analysis of aspects mentioned in examined documents. Our concept provides a means of iteratively refining the query based upon preliminary search results. After an abstract description of the concept, we elaborate on its usage in a practical example of filtering customer reviews in order to choose a restaurant based on user-defined preferences.en
dc.identifier.isbn978-3-88579-626-8
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofInformatik 2014
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-232
dc.titleAspect grid: A visualization for iteratively refining aspect-based queries on document collectionsen
dc.typeText/Conference Paper
gi.citation.endPage660
gi.citation.publisherPlaceBonn
gi.citation.startPage655
gi.conference.date22.-26. September 2014
gi.conference.locationStuttgart

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