This paper reports on our participation in SemEval-2015 Task 12, which was devoted to Aspect-Based Sentiment Analysis. Participants were required to identify the category (entity and attribute), the opinion target, and the polarity of customer reviews. The system we built relies on classification algorithms to identify aspect categories and on a set of rules to identify the opinion target. We propose a two-phase classification approach for category identification and use a simple method for polarity detection. Our results outperform the baseline in many cases, which means our system could be used as an alternative for aspect classification.
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