Sentic Computing: Techniques, Tools, and Applications

✍ Scribed by Erik Cambria, Amir Hussain (auth.)

• Publisher: Springer Netherlands
• Year: 2012
• Tongue: English
• Leaves: 165
• Series: SpringerBriefs in Cognitive Computation 2
• Edition: 1
• Category: Library

✦ 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.

✦ Table of Contents

Front Matter....Pages i-xviii
Introduction....Pages 1-10
Background....Pages 11-33
Techniques....Pages 35-67
Tools....Pages 69-101
Applications....Pages 103-146
Concluding Remarks....Pages 147-153

✦ Subjects

Biomedicine general; Data Mining and Knowledge Discovery; Mathematics, general; Linguistics (general); Cognitive Psychology