vbid/9789400750708

$54.99

Author(s): Erik Cambria; Amir Hussain
Publisher: Springer
ISBN: 9789400750692
Edition:

Category:

Description

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.Typham this is the title: Sentic Computing Techniques, Tools, and Applications

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