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Mining texts to understand customers' image of brands

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dc.contributor.authorAhn, H.J.-
dc.date.accessioned2021-11-11T04:43:46Z-
dc.date.available2021-11-11T04:43:46Z-
dc.date.created2021-11-10-
dc.date.issued2013-
dc.identifier.issn2073-9729-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/17292-
dc.description.abstractText mining is becoming increasingly important in understanding customers and markets these days. This paper presents a method of mining texts about customer sentiments using a network analysis technique. A data set collected about two global mobile device manufactures were used for testing the method. The analysis results show that the method can be effectively used to extract key sentiments in the customers' texts.-
dc.language영어-
dc.language.isoen-
dc.subjectconsumption behavior-
dc.subjectdata set-
dc.subjectmarket system-
dc.subjectmobile communication-
dc.subjectnetwork analysis-
dc.subjectperception-
dc.subjectsocial network-
dc.titleMining texts to understand customers' image of brands-
dc.typeArticle-
dc.contributor.affiliatedAuthorAhn, H.J.-
dc.identifier.doi10.7903/ijecs.1122-
dc.identifier.scopusid2-s2.0-84880891839-
dc.identifier.bibliographicCitationInternational Journal of Electronic Commerce Studies, v.4, no.1, pp.131 - 134-
dc.relation.isPartOfInternational Journal of Electronic Commerce Studies-
dc.citation.titleInternational Journal of Electronic Commerce Studies-
dc.citation.volume4-
dc.citation.number1-
dc.citation.startPage131-
dc.citation.endPage134-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusconsumption behavior-
dc.subject.keywordPlusdata set-
dc.subject.keywordPlusmarket system-
dc.subject.keywordPlusmobile communication-
dc.subject.keywordPlusnetwork analysis-
dc.subject.keywordPlusperception-
dc.subject.keywordPlussocial network-
dc.subject.keywordAuthorCustomer sentiments-
dc.subject.keywordAuthorSemantic network analysis-
dc.subject.keywordAuthorSocial network services-
dc.subject.keywordAuthorText mining-
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