Feature-based opinion mining through ontologies

Author:

Peñalver-Martinez Isidro,Garcia-Sanchez Francisco,Valencia-Garcia RafaelORCID,Rodríguez-García Miguel Ángel,Moreno Valentín,Fraga Anabel,Sánchez-Cervantes Jose Luis

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference34 articles.

1. Rule based system for enhancing recall for feature mining from short sentences in customer review documents;Ahmad;International Journal on Computer Science & Engineering,2012

2. Mathematical analysis;Apostol,2006

3. Baccianella, S., Esuli, A., & Sebastiani, F. (2010). SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In Proceedings of the seventh conference on international language resources and evaluation (pp. 2200–2204). European Language Resources Association.

4. Baccianella, S., Esuli, A., & Sebastiani, F. (2009). Multi-facet rating of product reviews. In ECIR ’09: proceedings of the 31th European conference on IR research on advances in information retrieval (pp. 461–472).

5. Semantic approaches to fine and coarse-grained feature-based opinion mining;Balahur,2010

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