Applying Supervised Opinion Mining Techniques on Online User Reviews

Ion Smeureanu () and Cristian Bucur ()

Informatica Economica, 2012, vol. 16, issue 2, 81-91

Abstract: In recent years, the spectacular development of web technologies, lead to an enormous quantity of user generated information in online systems. This large amount of information on web platforms make them viable for use as data sources, in applications based on opinion mining and sentiment analysis. The paper proposes an algorithm for detecting sentiments on movie user reviews, based on naive Bayes classifier. We make an analysis of the opinion mining domain, techniques used in sentiment analysis and its applicability. We implemented the proposed algorithm and we tested its performance, and suggested directions of development.

Keywords: Opinion Mining; Web Content; Mining; Sentiment Analysis; Naïve Bayes (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:aes:infoec:v:16:y:2012:i:2:p:81-91

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