Title: Predicting happiness: user interactions and sentiment analysis in an online travel forum
Language: English
Authors: Neidhardt, Julia  
Rümmele, Nataliia 
Werthner, Hannes 
Category: Original Research Article
Keywords: Social network analysis; Social influence; Network effects; Text mining; Sentiment analysis; Online travel forum
Issue Date: 2017
Journal: Information Technology and Tourism 
Abstract: 
Web sources of tourism services provide valuable resources of knowledge not only for the travellers but also for the companies. Tourism operators are increasingly aware that user related data should be regarded as an important asset. Furthermore, as data is permanently generated and always available, the landscape of empirical research is changing. In this paper, user activities and interactions in the tourism domain are analysed. In particular, the emotions of the users regarding their forthcoming trips are studied with the objective to characterize interdependencies between them. Social network analysis is applied to examine interactions between the users. To capture their emotions, text mining techniques and sentiment analysis are applied to construct a measure, which is based on free-text comments in a travel forum. The experimental outcome provides some evidence that the network has an effect on the sentiment of the users.
DOI: 10.1007/s40558-017-0079-2
Library ID: AC15187479
URN: urn:nbn:at:at-ubtuw:3-4068
ISSN: 1098-3058
Organisation: E194 - Institut für Information Systems Engineering 
Publication Type: Article
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