An Approach to Sentiment Analysis for Mobile Speech Applications View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016

AUTHORS

David Griol , José Manuel Molina , Araceli Sanchis , Zoraida Callejas

ABSTRACT

The integration of Sentiment Analysis and spoken conversational interfaces provides mutual benefits that enable using context-awareness information to enhance the performance of these interfaces, achieving a more efficient and proactive human-machine communication that can be dynamically adapted to the user’s emotional state. In this paper, we describe a novel Sentiment Analysis approach combining a lexicon-based model for specifying the set of emotions and a statistical methodology to identify the most relevant topics in the document that are the targets of the sentiments. Our proposal also includes an heuristic learning method that allows improving the initial knowledge considering the users’ feedback. We have integrated the proposed Sentiment Analysis approach into an Android-based mobile App that automatically assigns sentiments to pictures taking into account the description provided by the users. More... »

PAGES

96-107

References to SciGraph publications

  • 2003-07. Context-Independent Multilingual Emotion Recognition from Speech Signals in INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY
  • 2012. The Hourglass of Emotions in COGNITIVE BEHAVIOURAL SYSTEMS
  • 2008. Emotion-Based Music Visualization Using Photos in ADVANCES IN MULTIMEDIA MODELING
  • 2005. Creating Subjective and Objective Sentence Classifiers from Unannotated Texts in COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING
  • Book

    TITLE

    Future and Emergent Trends in Language Technology

    ISBN

    978-3-319-33499-8
    978-3-319-33500-1

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-33500-1_9

    DOI

    http://dx.doi.org/10.1007/978-3-319-33500-1_9

    DIMENSIONS

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