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Abstract: The paper considers approaches to sentiment analysis towards a specific entity and its characteristics (aspects). To solve the aspect-oriented sentiment analysis task, it is necessary to extract aspect terms from texts, to classify or cluster aspect terms into aspect categories, to determine the sentiment expressed towards the specfic aspect. The paper also briefly presents SentiRuEval-2015 evaluation of aspect-oriented sentiment analysis systems in Russian.

Abstract: We present the large-scale linguistic ontology OENT aimed for the using in NLP for the solving of information retrieval tasks such as categorization and query expansion in the domain of natural science and technology. OENT is based on three approaches - traditions of librarian information retrieval thesauri, formal ontologies, WordNet-like resources.Also we describe several additional rules for concepts, text entries and relations. OENT includes 50 thousands concepts, more than 150 thousands text entries, 200 thousands direct relations and more than two millions inherited relations.