Sentic Computing: Techniques, Tools, and Applications

Sentic Computing: Techniques, Tools, and Applications

by Erik Cambria, Amir Hussain
     
 

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

Overview

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.

Product Details

ISBN-13:
9789400750692
Publisher:
Springer Netherlands
Publication date:
07/28/2012
Series:
SpringerBriefs in Cognitive Computation Series, #2
Edition description:
2012
Pages:
153
Product dimensions:
6.10(w) x 9.25(h) x 0.02(d)

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