Sentic Computing
Techniques, Tools, and Applications
Nonfiction, Computers, Database Management, Science & Nature, Mathematics, Health & Well Being, Medical
| Author: | Erik Cambria, Amir Hussain | ISBN: | 9789400750708 |
| Publisher: | Springer Netherlands | Publication: | July 28, 2012 |
| Imprint: | Springer | Language: | English |
| Author: | Erik Cambria, Amir Hussain |
| ISBN: | 9789400750708 |
| Publisher: | Springer Netherlands |
| Publication: | July 28, 2012 |
| Imprint: | Springer |
| Language: | English |
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.
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.
