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Title: Sentic Computing
Subtitle: Techniques, Tools, and Applications
Written By: Erik Cambria
Amir Hussain
Series Title: SpringerBriefs in Cognitive Computation

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.

Publication Year: 2012
Publisher: Springer
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Linguistic Field(s): Computational Linguistics
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Format: Paperback
ISBN-13: 9789400750692
Pages: 171
Prices: Europe EURO 49.95