Abstract
In this paper we propose a system that performs the classification of customer reviews of hotels by means of a sentiment analysis. We elaborate on a process to extract a domainspecific lexicon of semantically relevant words based on a given corpus (Scharl et al., 2003; Pak & Paroubek, 2010). The resulting lexicon backs the sentiment analysis for generating a classification of the reviews. The evaluation of the classification on test data shows that the proposed system performs better compared to a predefined baseline: if a customer review is classified as good or bad the classification is correct with a probability of about 90%.
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Gräbner, D., Zanker, M., Fliedl, G., Fuchs, M. (2012). Classification of Customer Reviews based on Sentiment Analysis. In: Fuchs, M., Ricci, F., Cantoni, L. (eds) Information and Communication Technologies in Tourism 2012. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1142-0_40
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DOI: https://doi.org/10.1007/978-3-7091-1142-0_40
Publisher Name: Springer, Vienna
Print ISBN: 978-3-7091-1141-3
Online ISBN: 978-3-7091-1142-0