Title :
Retrieving Product Features and Opinions from Customer Reviews
Author :
Garcia-Moya, L. ; Anaya-Sanchez, H. ; Berlanga-Llavori, R.
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).
Keywords :
information retrieval; natural language processing; text analysis; free-text customer reviews; knowledge source; language models; language-modeling framework; retrieving product features; Analytical models; Computational modeling; Context; Feature extraction; Mathematical model; Proposals; Sentiment analysis; Stochastic processes; Analytical models; Computational modeling; Context; Feature extraction; Mathematical model; Proposals; Sentiment analysis; Stochastic processes; intelligent systems; opinion mining; retrieval of product features; sentiment analysis;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2013.37
