Sentic Computing (original) (raw)

Overview

Authors:

• Amir Hussain 1

1. Erik Cambria
   1. , Media Laboratory, Massachusetts Institute of Technology, Cambridge, USA
2. Amir Hussain
   1. Dept. Computing Science, University of Stirling, Stirling, United Kingdom

• 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

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About this book

In this book common sense computing techniques are further developed and applied to bridge the semantic gap between word-level natural language data and the concept-level opinions conveyed by these. In particular, the ensemble application of graph mining and multi-dimensionality reduction techniques is exploited on two common sense knowledge bases to develop a novel intelligent engine for open-domain opinion mining and sentiment analysis. The proposed approach, termed sentic computing, performs a clause-level semantic analysis of text, which allows the inference of both the conceptual and emotional information associated with natural language opinions and, hence, a more efficient passage from (unstructured) textual information to (structured) machine-processable data.

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Table of contents (6 chapters)

1. Tools

   • Erik Cambria, Amir Hussain
     Pages 69-101

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Authors and Affiliations

• , Media Laboratory, Massachusetts Institute of Technology, Cambridge, USA

Erik Cambria

• Dept. Computing Science, University of Stirling, Stirling, United Kingdom

Amir Hussain

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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

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