Sentic Computing / SpringerBriefs in Cognitive Computation Bd.2 (PDF)
Techniques, Tools, and Applications
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- Autoren: Erik Cambria , Amir Hussain
- 2012, 2012, 153 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 9400750706
- ISBN-13: 9789400750708
- Erscheinungsdatum: 28.07.2012
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- Grösse: 4 MB
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