Sentic Computing Techniques, Tools, and Applications /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Cambria, Erik (Autor), Hussain, Amir (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:SpringerBriefs in Cognitive Computation, 2
Temas:
Medicine-Research.
Biology-Research.
Data mining.
Mathematics.
Linguistics.
Cognitive psychology.
Biomedical Research.
Data Mining and Knowledge Discovery.
Cognitive Psychology.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XVIII, 153 p. 39 illus., 35 illus. in color. online resource.
ISBN:9789400750708
ISSN:2212-6031 ;

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