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dc.contributor.authorRossetti, M
dc.contributor.authorStella, F
dc.contributor.authorZanker, M
dc.date.accessioned2017-05-31T09:48:48Z
dc.date.available2017-05-31T09:48:48Z
dc.date.issued2016
dc.identifier.issn1098-3058
dc.identifier.urihttp://dx.doi.org/10.1007/s40558-015-0035-y
dc.identifier.urihttp://link.springer.com/article/10.1007/s40558-015-0035-y
dc.identifier.urihttp://hdl.handle.net/10863/2394
dc.description.abstractUser generated content in general and textual reviews in particular constitute a vast source of information for the decision making of tourists and management and are therefore a key component for e-tourism. This paper provides a description of the topic model method with a particular application focus on the tourism domain. It therefore contributes different application scenarios where the topic model method processes textual reviews in order to provide decision support and recommendations to online tourists as well as to build a basis for further analytics. In the latter case the delivery of additional semantics helps digging into the enormous amounts of data that are continuously collected in present time. The contribution therefore consists of new models based on the topic model method and results from experimenting with user generated review data on restaurants and hotels.en_US
dc.language.isoenen_US
dc.publisherCognizant Communication Corporation / Springer Verlag (Germany)en_US
dc.titleAnalyzing user reviews in tourism with topic modelsen_US
dc.typeArticleen_US
dc.date.updated2016-04-01T09:14:05Z
dc.journal.titleInformation Technology and Tourism
dc.description.fulltextreserveden_US


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