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Classification of Customer Reviews based on Sentiment Analysis
BibTeX
@MISC{A_classificationof,
author = {Dietmar Gräbner A and Markus Zanker B and Günther Fliedl B and Matthias Fuchs C},
title = {Classification of Customer Reviews based on Sentiment Analysis},
year = {}
}
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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%.
