Sentic Computing: Techniques, Tools, and Applications (SpringerBriefs in Cognitive Computation, Band 2) - Softcover

Cambria, Erik; Hussain, Amir

 
9789400750692: Sentic Computing: Techniques, Tools, and Applications (SpringerBriefs in Cognitive Computation, Band 2)
Softcover
ISBN 10: 9400750692 ISBN 13: 9789400750692
Verlag: Springer, 2012

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Erik Cambria is a Professor at Nanyang Technological University, where he also holds the appointment of Provost Chair in Computer Science and Engineering, and Founder of several AI companies, such as SenticNet, offering B2B sentiment analysis services, and finaXai, providing fully explainable financial insights. Prior to moving to Singapore, he worked at Microsoft Research Asia (Beijing) and HP Labs India (Bangalore), after earning his PhD through a joint program between the University of Stirling (UK) and MIT Media Lab (USA). Today, his research focuses on neurosymbolic AI for interpretable, trustworthy, and explainable affective computing in domains like social media monitoring, financial forecasting, and AI for social good. He is ranked in Clarivate's Highly Cited Researchers List of World's Top 1% Scientists, is recipient of many awards, e.g., IEEE Outstanding Early Career, was listed among the AI's 10 to Watch, and was featured in Forbes as one of the 5 People Building Our AI Future. He is an IEEE Fellow, Associate Editor of various top-tier AI journals, e.g., Information Fusion and IEEE Transactions on Affective Computing, and is involved in several international conferences as keynote speaker, program chair and committee member.

Von der hinteren Coverseite

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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Verlag
Springer
Erscheinungsdatum
2012
Sprache
Englisch
ISBN 10 
9400750692
ISBN 13 
9789400750692
Einband
Taschenbuch
Anzahl der Seiten
172
Kontakt zum Hersteller
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Darmstadt
64293
Deutschland

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9789400750715: Sentic Computing: Techniques, Tools, and Applications

Vorgestellte Ausgabe

ISBN 10:  9400750714 ISBN 13:  9789400750715
Verlag: Springer, 2012
Softcover