Computational Social Sciences
cover

Computational Methods for Affect Detection from Natural Language

Authors: Balahur-Dobrescu, Alexandra, Taboada, Maite, Schuller, Björn W.

  • Offers a broad overview of natural language processing in affective computing
  • Familiarizes readers with current approaches in affective computing with explanations of theory as well as practical examples
  • Introduces and defines the concepts employed in the computational treatment of affect from text, from an inter-disciplinary, unified perspective
  • A timely topic for the age of social media
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eBook 74,96 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: May 4, 2020
  • ISBN 978-3-319-00602-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 93,59 €
price for Spain (gross)
  • Due: May 4, 2020
  • ISBN 978-3-319-00601-7
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

A broad overview of natural language processing in affective computing is given by this title. Its goal is to familiarize the reader with current approaches in affective computing as well as the most relevant concepts related to this field (affect, sentiment, subjectivity and others). Research in human affect has a long established tradition in social sciences - Philosophy, Psychology, Socio-psychology, Cognitive Science, Pragmatics, Marketing, Communication. The study of affect from a computational point of view is a recent field in Artificial Intelligence, denominated “Affective Computing”. Despite the novelty of the subject, the volume and importance of research in automatic human affect recognition, classification and simulation has been constantly growing in the past decades, leading to the development of further sub-areas of research. One of these directions deals with the study of automatic affect treatment from text, in the Artificial Intelligence area of Natural Language Processing. In this context, different tasks have been developed, from emotion detection, subjectivity analysis, opinion mining to sentiment analysis and appraisal analysis.

Buy this book

eBook 74,96 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: May 4, 2020
  • ISBN 978-3-319-00602-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 93,59 €
price for Spain (gross)
  • Due: May 4, 2020
  • ISBN 978-3-319-00601-7
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules

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Bibliographic Information

Bibliographic Information
Book Title
Computational Methods for Affect Detection from Natural Language
Authors
Series Title
Computational Social Sciences
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-319-00602-4
Hardcover ISBN
978-3-319-00601-7
Series ISSN
2509-9574
Edition Number
1
Number of Pages
250
Topics