Sentic Computing Techniques, Tools, and Applications /

• Main Authors: Cambria, Erik (Author), Hussain, Amir (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2012.
• Series: SpringerBriefs in Cognitive Computation, 2
• Subjects: Medicine.; Data mining.; Mathematics.; Linguistics.; Cognitive psychology.; Biomedicine.; Biomedicine general.; Data Mining and Knowledge Discovery.; Mathematics, general.; Linguistics, general.; Cognitive Psychology.
• Physical Description: XVIII, 153 p. 39 illus., 35 illus. in color. online resource.
• ISBN: 9789400750708
• ISSN: 2212-6023 ;

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.