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dc.contributor.authorGarcía Moya, Lisette
dc.contributor.authorAnaya Sánchez, Henry
dc.contributor.authorBerlanga Llavori, Rafael
dc.identifier.citationGarcía Moya, Lisette; Anaya Sánchez, Henry, Berlanga Llavori,Rafael " Combining Probabilistic Language Models for Aspect-Based Sentiment Retrieval ". En: Advances in Information Retrieval– 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012. Proceedings / Baeza-Yates, Ricardo [et al.] (Eds.). Berlin : Springer, 2012. (Lecture Notes in Computer Science; 7224) . ISBN 978-3-642-28996-5, pp. 561-564ca_CA
dc.description.abstractIn this paper, we present a new methodology aimed at retrieving relevant product aspects from a collection of customer reviews, as well as the most salient sentiments expressed about them. Our proposal is both unsupervised and domain independent, and does not relies on NLP techniques such as parsing or dependence analysis. In our experiments, the proposed method achieves good values of precision. It is also shown that our approach is capable of properly retrieving the relevant aspects and their sentiments even from individual reviews.ca_CA
dc.format.extent4 p.ca_CA
dc.publisherSpringer Berlin Heidelbergca_CA
dc.relation.isPartOfSeriesLecture Notes in Computer Science;7224
dc.rights© Springer, Part of Springer Science+Business Mediaca_CA
dc.subjectSentiment analysisca_CA
dc.subjectAspect retrievalca_CA
dc.subjectLanguage modelsca_CA
dc.titleCombining Probabilistic Language Models for Aspect-Based Sentiment Retrievalca_CA

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  • LSI_Capítols de llibres [17]
    Capítols de llibres escrits per professors del Departament de Llenguatges i Sistemes Informàtics

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