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Sentiment Analysis and Affective Computing: Methods and Applications

  • Barbara Calabrese
  • Mario CannataroEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10087)

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.

Keywords

Social network Life sciences Sentiment analysis Affective computing 

Notes

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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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.University Magna Græcia of CatanzaroCatanzaroItaly

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