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Issue No. 03 - May-June (2013 vol. 28)
ISSN: 1541-1672
pp: 19-27
Lisette Garcia-Moya , Universitat Jaume I
Henry Anaya-Sanchez , Universitat Jaume I
Rafael Berlanga-Llavori , Universitat Jaume I
ABSTRACT
A new methodology based on language models retrieves product features and opinions from a collection of free-text customer reviews about a product or service. The proposal relies on a language-modeling framework that can be applied to reviews in any domain and language provided with a minimal knowledge source of sentiments or opinions (that is, a minimal seed set of opinion words).
INDEX TERMS
Feature extraction, Computational modeling, Context, Stochastic processes, Mathematical model, Analytical models, Proposals, Sentiment analysis,retrieval of product features, Feature extraction, Computational modeling, Context, Stochastic processes, Mathematical model, Analytical models, Proposals, Sentiment analysis, intelligent systems, opinion mining, sentiment analysis
CITATION
Lisette Garcia-Moya, Henry Anaya-Sanchez, Rafael Berlanga-Llavori, "Retrieving Product Features and Opinions from Customer Reviews", IEEE Intelligent Systems, vol. 28, no. , pp. 19-27, May-June 2013, doi:10.1109/MIS.2013.37
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