Sentiment Analisis on Web-based Reviews using Data Mining and Support Vector Machine

نویسندگان

  • Renato S. C. da Rocha
  • Marco Aurelio Pacheco
چکیده

This work aims to use sentiment analysis techniques, data mining, text mining and natural language processing to indicate the polarity of texts using support vector machine. Weka software and a movie review database from Internet Movie Database IMDb were used. This work uses preprocessing filters and WRAPPER techniques and Support Vector Machine (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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تاریخ انتشار 2016