Sentic Computing
| Autor: | Erik Cambria, Amir Hussain |
|---|---|
| EAN: | 9789400750708 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 28.07.2012 |
| Untertitel: | Techniques, Tools, and Applications |
| Kategorie: | |
| Schlagworte: | Artificial Intelligence Cognitive and Affective Modeling Natural Language Processing Opinion Mining and Sentiment Analysis |
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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.
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