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Sentic Computing

Part of the Socio-Affective Computing Book Series (volume 1)

DOI: 10.1007/978-3-319-23654-4

ISBN: 978-3-319-23653-7

Publisher: Springer International Publishing - Springer Journals

Aug 19, 2015

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Introduction

Cambria, Erik; Hussain, Amir

Pages: 1 –21

[This introductory chapter offers an updated literature review of sentiment analysis research and explains the importance of common-sense knowledge as a means to better understand natural language. In particular, the chapter proposes insights on the evolution of opinion mining research from...
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SenticNet

Cambria, Erik; Hussain, Amir

Pages: 23 –71

[SenticNet is the knowledge base which the sentic computing framework leverages on for concept-level sentiment analysis. This chapter illustrates how such a resource is built. In particular, the chapter thoroughly explains the processes of knowledge acquisition, representation, and reasoning,...
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Sentic Patterns

Cambria, Erik; Hussain, Amir

Pages: 73 –106

[This chapter introduces a novel framework for polarity detection that merges linguistics, common-sense computing, and machine learning. By allowing sentiments to flow from concept to concept based on the dependency relation of the input sentence, in particular, a better understanding of the...
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Sentic Applications

Cambria, Erik; Hussain, Amir

Pages: 107 –153

[This chapter lists a set of systems and applications that make use of SenticNet or sentic patterns (or both) for different sentiment analysis tasks. In particular, the chapter showcases applications in fields such as Social Web, human-computer interaction, and healthcare.]
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Conclusion

Cambria, Erik; Hussain, Amir

Pages: 155 –160

[The main aim of this book was to go beyond keyword-based approaches by further developing and applying common-sense computing and linguistic patterns to bridge the cognitive and affective gap between word-level natural language data and the concept-level opinions conveyed by these. This has been...

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