In this study we extend Bing Liu’s aspect-based opinion mining technique to apply it to the tourism domain. Using this extension, we also offer an approach for considering a new alternative to discover consumer preferences about tourism products, particularly hotels and restaurants, using opinions available on the Web as reviews. An experiment is also conducted, using hotel and restaurant revie...

In this paper, we introduce a novel approach for modeling n-grams in a latent space learned from supervised signals. The proposed procedure uses only unigram features to model short phrases (n-grams) in the latent space. The phrases are then combined to form document-level latent representation for a given text, where position of an n-gram in the document is used to compute corresponding combin...

The analysis of user reviews has become critical in research and industry, as user reviews increasingly impact the reputation of products and services. Many review texts comprise an involved argumentation with facts and opinions on different product features or aspects. Therefore, classifying sentiment polarity does not suffice to capture a review’s impact. We claim that an argumentation analys...

Today, online reviews for products and services have become an important class of user-generated content and they play a valuable role for countless online businesses by helping to convert casual browsers into informed and satisfied buyers. In many respects, the content of user reviews is every bit as important as the catalog content that describes a given product or service. As users gravitate...

This paper postulates that there are natural distributions of opinions in product reviews. In particular, we hypothesize that for a given domain, there is a set of representative distributions of review rating scores. A deceptive business entity that hires people to write fake reviews will necessarily distort its distribution of review scores, leaving distributional footprints behind. In order ...

While Daily Deal accommodation promotions through sites such as LivingSocial, Groupon, Scoopon, Ouffer and Cudo have become increasingly popular amongst industry operators and travellers alike, there is limited research about the extent to which they satisfy the end-users expectations. Consumers‟ self-reported evaluations of accommodation promotions sold through Daily Deal sites are analysed in...

eTourism and Cultural Heritage Department Vicomtech-IK4, Spain [agarcia, sgaines, mtlinaza]@vicomtech.org Sentiment analysis has been extensively investigated during the last years mainly for English language. Currently, existing approaches can be split into two main groups: methods based on the combination of lexical resources and Natural Language Processing (NLP) techniques; and machine learn...