Listar por autoría "0a624c16-9259-419e-9d0e-3beb066c93f8"

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    • closedAccess   A document clustering algorithm for discovering and describing topics 

      Anaya Sánchez, Henry; Pons Porrata, Aurora; Berlanga Llavori, Rafael Elsevier (2010)
      In this paper, we introduce a new clustering algorithm for discovering and describing the topics comprised in a text collection. Our proposal relies on both the most probable term pairs generated from the collection and ...

    • openAccess   Combining Probabilistic Language Models for Aspect-Based Sentiment Retrieval 

      García Moya, Lisette; Anaya Sánchez, Henry; Berlanga Llavori, Rafael Springer Berlin Heidelberg (2012)
      In 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 ...

    • openAccess   Learning a statistical model of product aspects for sentiment analysis 

      García Moya, Lisette; Berlanga Llavori, Rafael; Anaya Sánchez, Henry Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN) (2012)
      En este art culo se introduce una nueva metodolog a para modelar ca- racter sticas de productos a partir de una colecci on de opiniones de usuarios. La metodolog a propuesta se basa en modelos estad sticos de lenguajes ...

    • closedAccess   Retrieving Product Features and Opinions from Customer Reviews 

      García Moya, Lisette; Anaya Sánchez, Henry; Berlanga Llavori, Rafael Institute of Electrical and Electronics Engineers (IEEE) (2013)
      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 ...

    • closedAccess   Semi-supervised classification by probabilistic relaxation 

      Pla, Filiberto; Martínez Sotoca, José; Martínez Usó, Adolfo; Anaya Sánchez, Henry (2012-10-24)
      In this paper, a semi-supervised approach based on probabilistic relaxation theory is presented. It combines two desirable properties; firstly, a very small number of labelled samples is needed and, secondly, the assignment ...

    • closedAccess   Semi-supervised probabilistic relaxation for image segmentation 

      Martínez Usó, Adolfo; Martínez Sotoca, José; Pla, Filiberto; Anaya Sánchez, Henry Springer-Verlag (2011)
      In this paper, a semi-supervised approach based on probabilistic relaxation theory is presented. Focused on image segmentation, the presented technique combines two desirable properties; a very small number of labelled ...