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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Sentic Computing
• Subtitle: Techniques, Tools and Applications
• Author: Erik Cambria, Amir Hussain
• Language: English
• Binding: Paperback
• Number of pages: 153
• EAN: 9789400750692
• ISBN: 9400750692
• ID: 01980199
• Publisher: Springer
• Weight: 276 g
• Dimensions: 158 × 236 × 9 mm
• Date of publishing: 28. July 2012

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