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A Brief Tutorial on How to Extract Information from User-Generated Content (UGC)

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dc.contributor.authorEgger, Marc
dc.contributor.authorLang, André
dc.date.accessioned2018-01-08T09:16:22Z
dc.date.available2018-01-08T09:16:22Z
dc.date.issued2013
dc.description.abstractIn this brief tutorial, we provide an overview of investigating text-based user-generated content for information that is relevant in the corporate context. We structure the overall process along three stages: collection, analysis, and visualization. Corresponding to the stages we outline challenges and basic techniques to extract information of different levels of granularity.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11330
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 27, No. 1
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectInformation extraction
dc.subjectNatural language processing
dc.subjectOpinion mining
dc.subjectText mining
dc.subjectWeb mining
dc.titleA Brief Tutorial on How to Extract Information from User-Generated Content (UGC)
dc.typeText/Journal Article
gi.citation.endPage60
gi.citation.startPage53

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Künstliche Intelligenz 27(1) - März 2013