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Sentic ComputingConclusion

Sentic Computing: Conclusion [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 pursued through a variety of novel tools and techniques that have been tied together to develop an opinion-mining engine for the semantic analysis of natural language opinions and sentiments. The engine has then been used for the development of intelligent web applications in diverse fields such as Social Web, HCI, and e-health. This final section proposes a summary of contributions in terms of models, techniques, tools, and applications introduced by sentic computing, and lists some of its limitations.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Sentic ComputingConclusion

Part of the Socio-Affective Computing Book Series (volume 1)
Sentic Computing — Aug 19, 2015

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Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2015
ISBN
978-3-319-23653-7
Pages
155 –160
DOI
10.1007/978-3-319-23654-4_5
Publisher site
See Chapter on Publisher Site

Abstract

[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 pursued through a variety of novel tools and techniques that have been tied together to develop an opinion-mining engine for the semantic analysis of natural language opinions and sentiments. The engine has then been used for the development of intelligent web applications in diverse fields such as Social Web, HCI, and e-health. This final section proposes a summary of contributions in terms of models, techniques, tools, and applications introduced by sentic computing, and lists some of its limitations.]

Published: Aug 19, 2015

Keywords: Sentic models; Sentic tools; Sentic techniques; Sentic applications; Artificial intelligence

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