Authors:
- Represents the first comprehensive review of Sentic Computing, state-of-the-art approach to opinion mining and sentiment analysis (see http://en.wikipedia.org/wiki/Sentiment_analysis)
- A special chapter on cognitive and affective modeling for natural language understanding
- Includes tips on different strategies (techniques, online resources, datasets, etc.) to opinion mining and sentiment analysis
- Includes supplementary material: sn.pub/extras
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Cognitive Computation (BRIEFSCC, volume 2)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (6 chapters)
-
Front Matter
About this book
Authors and Affiliations
-
, Media Laboratory, Massachusetts Institute of Technology, Cambridge, USA
Erik Cambria
-
Dept. Computing Science, University of Stirling, Stirling, United Kingdom
Amir Hussain
Bibliographic Information
Book Title: Sentic Computing
Book Subtitle: Techniques, Tools, and Applications
Authors: Erik Cambria, Amir Hussain
Series Title: SpringerBriefs in Cognitive Computation
DOI: https://doi.org/10.1007/978-94-007-5070-8
Publisher: Springer Dordrecht
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Author(s) 2012
Softcover ISBN: 978-94-007-5069-2Published: 28 July 2012
eBook ISBN: 978-94-007-5070-8Published: 28 July 2012
Series ISSN: 2212-6023
Series E-ISSN: 2212-6031
Edition Number: 1
Number of Pages: XVIII, 153
Number of Illustrations: 4 b/w illustrations, 35 illustrations in colour
Topics: Biomedicine general, Data Mining and Knowledge Discovery, Mathematics, general, Linguistics, general, Cognitive Psychology