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 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.

List of contents

1. Introduction. - 2. Background. - 3. Techniques. - 4. Tools. - 5. Applications. - 6. Concluding Remarks.

Summary

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

• Authors: Eri Cambria, Erik Cambria, Amir Hussain
• Publisher: Springer Netherlands
• Languages: English
• Product format: Paperback / Softback
• Released: 08.06.2012
• EAN: 9789400750692
• ISBN: 978-94-0-075069-2
• No. of pages: 153
• Dimensions: 169 mm x 11 mm x 235 mm
• Weight: 271 g
• Illustrations: XVIII, 153 p. 39 illus., 35 illus. in color.
• Series: SpringerBriefs in Cognitive Computation; SpringerBriefs in Cognitive Computation
• Subjects: Natural sciences, medicine, IT, technology > Medicine > Non-clinical medicine; C, Data Mining, Medicine, Linguistics, Mathematics, Cognition & cognitive psychology, Linguistics, general, Language: history & general works, Mathematics, general, cognitive psychology, Data Mining and Knowledge Discovery, Biomedical and Life Sciences, Biomedicine, general, Biomedical Research, Expert systems / knowledge-based systems