A study of opinion mining and visualization of hotel reviews
Published 3 December 2012
Eivind Bjørkelund, Thomas H. Burnett, Kjetil Nørvåg
Citations85
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TL;DR
This paper study opinion mining applied on data from travel review sites shows high accuracy in opinion mining, and that the prototype can help detect hotel features and possible reasons for changes in opinion as well as show "good" and "bad" geographical areas based on hotel reviews.
Abstract
Travel websites like TripAdvisor are nowadays important tools for travelers when deciding which hotels to stay in, and what restaurants and tourist attractions to visit. In this paper, we study opinion mining applied on data from travel review sites. We also describe how the results of sentiment analysis of textual reviews can be visualized using Google Maps, providing possibilities for users to easily detect good hotels and good areas to stay in. More advanced features also provides for faceted and filtered visualization. An evaluation of the techniques presented, shows high accuracy in opinion mining, and that the prototype can help detect hotel features and possible reasons for changes in opinion as well as show "good" and "bad" geographical areas based on hotel reviews.
Keywords
Computer ScienceSocial Sciences
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