Aspect-Oriented Opinion Mining from User Reviews in Croatian

Aspect-oriented opinion mining aims to identify product aspects (features of products) about which opinion has been expressed in the text. We present an approach for aspect-oriented opinion mining from user reviews in Croatian. We propose methods for acquiring a domain-specific opinion lexicon, linking opinion clues to product aspects, and predicting polarity and rating of reviews. We show that a supervised approach to linking opinion clues to aspects is feasible, and that the extracted clues and aspects improve polarity and rating predictions.

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