Extracting product features and opinions from reviews
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Ontology-supported polarity mining
Journal of the American Society for Information Science and Technology
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
A state of the art opinion mining and its application domains
ICIT '09 Proceedings of the 2009 IEEE International Conference on Industrial Technology
Mining opinion features in customer reviews
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Ontology Based Opinion Mining for Movie Reviews
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Ontology based combined approach for sentiment classification
CIT'09 Proceedings of the 3rd International Conference on Communications and information technology
Ontology-guided approach to feature-based opinion mining
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Building a sentiment lexicon for social judgement mining
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
PIRPO: an algorithm to deal with polarity in portuguese online reviews from the accommodation sector
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
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This paper presents a thesis whose goal is to propose and evaluate methods to identify polarity in Portuguese user generated reviews according to features described in domain ontologies (experiments will consider movie and hotel ontologies Movie Ontology1 and Hontology2).