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Article
Affiliation(s)

1. Department of Informatics, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro 22451-900, Brazil
2. Electrical Engineering Department,Pontifical Catholic University of Rio deJaneiro, Rio de Janeiro 22451-900, Brazil
3. Electrical Engineering Department, State University of Rio de Janeiro, Rio de Janeiro 20550-900, Brazil

ABSTRACT

This work aims to use sentiment analysis techniques, data mining, text mining and natural language processing to indicate the polarity of texts using SVM (support vector machine). Weka software and a movie review database from IMDb (internet movie database) were used. This work uses preprocessing filters and WRAPPER techniques and SVM for classification. It presents better results when compared to other preprocessing techniques used in sentiment analysis.

KEYWORDS

Text mining, sentiment analysis, machine learning, support vector machine, preprocessing techniques, filter, wrapper.

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