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Retrieving Product Features and Opinions from Customer Reviews
May-June 2013 (vol. 28 no. 3)
pp. 19-27
Lisette Garcia-Moya, Universitat Jaume I
Henry Anaya-Sanchez, Universitat Jaume I
Rafael Berlanga-Llavori, Universitat Jaume I
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. 3, pp. 19-27, May-June 2013, doi:10.1109/MIS.2013.37
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