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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.
| Autorius: | Amir Hussain, Erik Cambria, |
| Serija: | SpringerBriefs in Cognitive Computation |
| Leidėjas: | Springer Netherlands |
| Išleidimo metai: | 2012 |
| Knygos puslapių skaičius: | 172 |
| ISBN-10: | 9400750692 |
| ISBN-13: | 9789400750692 |
| Formatas: | 235 x 155 x 10 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Sentic Computing: Techniques, Tools, and Applications“
