Sentic Computing: Techniques, Tools, and Applications - Amir Hussain,Erik Cambria
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Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
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 opinio ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Amir Hussain, Erik Cambria |
|---|---|
| Julkaisija | Springer Netherlands |
| Series | SpringerBriefs in Cognitive Computation |
| Julkaisuvuosi | 2012 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9789400750692 |