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.
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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.
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Sentic Computing: Techniques, Tools, and Applications
153
Sentic Computing: Techniques, Tools, and Applications
153Paperback(2012)
$54.99
54.99
In Stock
Product Details
| ISBN-13: | 9789400750692 |
|---|---|
| Publisher: | Springer Netherlands |
| Publication date: | 07/28/2012 |
| Series: | SpringerBriefs in Cognitive Computation , #2 |
| Edition description: | 2012 |
| Pages: | 153 |
| Product dimensions: | 6.10(w) x 9.25(h) x 0.02(d) |
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