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OverviewIn 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. Full Product DetailsAuthor: Erik Cambria , Amir HussainPublisher: Springer Imprint: Springer Volume: 2 Dimensions: Width: 15.50cm , Height: 1.30cm , Length: 23.50cm Weight: 0.273kg ISBN: 9789400750692ISBN 10: 9400750692 Pages: 153 Publication Date: 28 July 2012 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of Contents1. Introduction. - 2. Background. - 3. Techniques. - 4. Tools. - 5. Applications. - 6. Concluding Remarks.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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