Abstract
The paper examines two approaches to sentiment analysis: lexicon-based vs. supervised learning in the domain of movie reviews. In evaluation, the methods were compared using a standard movie review test collection. The results show that lexicon-based approach is easily outperformed by classification approach. © 2014 Springer International Publishing.
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Augustyniak, L., Kajdanowicz, T., Kazienko, P., Kulisiewicz, M., & Tuliglowicz, W. (2014). An approach to sentiment analysis of movie reviews: Lexicon based vs. classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8480 LNAI, pp. 168–178). Springer Verlag. https://doi.org/10.1007/978-3-319-07617-1_15
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