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Semantic Spaces for Sentiment Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43919420" target="_blank" >RIV/49777513:23520/13:43919420 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-642-40585-3_61" target="_blank" >http://dx.doi.org/10.1007/978-3-642-40585-3_61</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-40585-3_61" target="_blank" >10.1007/978-3-642-40585-3_61</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Semantic Spaces for Sentiment Analysis

  • Original language description

    This article presents a new semi-supervised method for document-level sentiment analysis. We employ a supervised state-of-the-art classification approach and enrich the feature set by adding word cluster features. These features exploit clusters of wordsrepresented in semantic spaces computed on unlabeled data. We test our method on three large sentiment datasets (Czech movie and product reviews, and English movie reviews) and outperform the current state of the art. To the best of our knowledge, thisarticle reports the first successful incorporation of semantic spaces based on local word co-occurrence in the sentiment analysis task.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    TSD 2013

  • ISBN

    978-3-642-40584-6

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    484-491

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Plzeň

  • Event date

    Sep 1, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article