Sentic Computing: Techniques, Tools, and Applications (SpringerBriefs in Cognitive Comp...
MIA KARTS BOOKS
- Vendor: Mia Karts
Sentic Computing: Techniques, Tools, and Applications (SpringerBriefs in Cognitive Computation, 2)
Book Details
- Author
- Erik Cambria
- Publisher
- Springer
- Format
- Paperback
- Language
- English
- Category
- AI & Machine Learning
- Condition
- New
- ISBN-13
- 9799400750691
- ISBN-10
- 9400750692
Free U.S. shipping on all orders. International shipping is calculated at checkout.
ISBN: 9400750692
Author: Cambria, Erik
Condition: New
Product DescriptionIn 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.From the Back CoverIn 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.
Have a question?

Sentic Computing: Techniques, Tools, and Applications (SpringerBriefs in Cognitive Computation, 2)
You May Also Like
More in Artificial Intelligence













