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Automated Coding of Qualitative Interviews with Latent Semantic Analysis

dc.contributor.authorFeinerer, Ingo
dc.contributor.authorWild, Fridolin
dc.contributor.editorMayr, Heinrich C.
dc.contributor.editorKaragiannis, Dimitris
dc.date.accessioned2019-05-15T09:28:54Z
dc.date.available2019-05-15T09:28:54Z
dc.date.issued2007
dc.description.abstractCoding and analysing qualitative interviews is one of several core techniques used in marketing research. Qualitative methods offer valuable information hardly gained by standard quantitative methods since open-ended questions and interviews provide deeper insight into customer demands. The main disadvantages of qualitative methods are their inherent subjectivity and their high costs. We tackle this problem by applying latent semantic analysis (LSA) in a fully automated way on transcripts of interviews and we propose two algorithms based on LSA. We evaluate the algorithms against two separate real-life cases taken from the automobile industry and from the Austrian mobile phone market. Thereby, we compare the machine results against marketing expert judgements and show that the algorithms proposed provide perfect reliability with appropriate validity in automated coding and textual analysis.en
dc.identifier.isbn978-3-88579-2017
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/22687
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofInformation systems technology and its applications – 6th international conference – ISTA 2007
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-107
dc.titleAutomated Coding of Qualitative Interviews with Latent Semantic Analysisen
dc.typeText/Conference Paper
gi.citation.endPage77
gi.citation.publisherPlaceBonn
gi.citation.startPage66
gi.conference.dateMay 23-25, 2007
gi.conference.locationKharkiv, Ukraine
gi.conference.sessiontitleRegular Research Papers

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