Resumen

HENRIQUEZ-MIRANDA, Carlos  y  GUZMAN-LUNA, Jaime. Ontologies for aspects automatic detection in sentiment analysis. Prospect. [online]. 2016, vol.14, n.2, pp.90-98. ISSN 1692-8261.  https://doi.org/10.15665/rp.v14i2.750.

In this paper the role of ontologies is discussed in aspects-level sentiment analysis. The objective of the research is to investigate techniques that have been applied in sentiment analysis systems where ontologies have been used either for the extraction of the aspects or determination of sentiment. For this were selected the most representative papers of literature through a systematic review where some common criteria are identified which they enabled a comparative analysis of the documents versus the criteria The results obtained provide the necessary for the development of a model of aspects-level sentiment analysis for the Spanish based on ontologies ..

Palabras clave : Sentiment analysis; Opinions Mining; Ontologies; NLP; Aspects.

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