An opinion mining approach for Romanian language

The paper proposes a solution for document and aspect levels sentiment analysis for unstructured documents written in the Romanian language. The opinion extraction relies on two different approaches for polarity identification. At the aspect level we propose a rule-based approach. For the document level we consider supervised learning techniques, based on features extracted and filtered in different layers, based on their polarity discriminative power.