Automated classification of product review sentiments in Polish
نویسندگان
چکیده
Automated sentiment polarity prediction from text is a challenging problem addressed in this paper. We present results of a comparison of pure “Bag of Words” approach against a mixed method, extended by detecting opinion patterns using shallow-parsing techniques. We utilize two resources for the analysis: Spejd shallow parsing engine and Zetema dictionary of sentiment in Polish. The performance of both approaches has been evaluated on online product review database.
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