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Sentiment Analysis and Affective Computing: Methods and Applications

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Brain-Inspired Computing (BrainComp 2015)

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Abstract

New computing technologies, such as affective computing and sentiment analysis, are raising a strong interest in different fields, such as marketing, politics and, recently, life sciences. Examples of possible applications in the last field, regard the detection and monitoring of depressive states or mood disorders and anxiety conditions. This paper aims to provide an introductory overview of affective computing and sentiment analysis, through the discussion of the main processing techniques and applications. The paper concludes with a discussion relative to a new approach based on the integration of sentiment analysis and affective computing to obtain a more accurate and reliable detection of emotions and feelings for applications in the life sciences.

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Acknowledgments

This work has been partially supported by the following research project funded by the Italian Ministry of University and Research (MIUR): PON03PE_00001_1 BA2Know-Business Analytics to Know.

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Authors and Affiliations

  1. University Magna Græcia of Catanzaro, Viale Europa, 88100, Catanzaro, Italy

    Barbara Calabrese & Mario Cannataro

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  1. Barbara Calabrese
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  2. Mario Cannataro
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Correspondence to Mario Cannataro .

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Editors and Affiliations

  1. Forschungszentrum Jülich, Jülich, Germany

    Katrin Amunts

  2. University of Calabria , Rende, Italy

    Lucio Grandinetti

  3. Forschungszentrum Jülich, Jülich, Germany

    Thomas Lippert

  4. University of Groningen , Groningen, The Netherlands

    Nicolai Petkov

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Calabrese, B., Cannataro, M. (2016). Sentiment Analysis and Affective Computing: Methods and Applications. In: Amunts, K., Grandinetti, L., Lippert, T., Petkov, N. (eds) Brain-Inspired Computing. BrainComp 2015. Lecture Notes in Computer Science(), vol 10087. Springer, Cham. https://doi.org/10.1007/978-3-319-50862-7_13

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  • DOI: https://doi.org/10.1007/978-3-319-50862-7_13

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-50862-7

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