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Sentic Computing A Common-Sense-Based Framework for Concept-Level Sentiment Analysis /
This volume presents a knowledge-based approach to concept-level sentiment analysis at the crossroads between affective computing, information extraction, and common-sense computing, which exploits both computer and social sciences to better interpret and process information on the Web. Concept-leve...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Edición: | 1st ed. 2015. |
| Colección: | Socio-Affective Computing,
1 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 100 | 1 | |a Cambria, Erik. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Sentic Computing |h [electronic resource] : |b A Common-Sense-Based Framework for Concept-Level Sentiment Analysis / |c by Erik Cambria, Amir Hussain. |
| 250 | |a 1st ed. 2015. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2015. | |
| 300 | |a XXII, 176 p. 54 illus., 40 illus. in color. |b online resource. | ||
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| 490 | 1 | |a Socio-Affective Computing, |x 2509-5714 ; |v 1 | |
| 505 | 0 | |a Introduction -- SenticNet -- Sentic Patterns -- Sentic Applications -- Conclusion -- Index. | |
| 520 | |a This volume presents a knowledge-based approach to concept-level sentiment analysis at the crossroads between affective computing, information extraction, and common-sense computing, which exploits both computer and social sciences to better interpret and process information on the Web. Concept-level sentiment analysis goes beyond a mere word-level analysis of text in order to enable a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain. Readers will discover the following key novelties, that make this approach so unique and avant-garde, being reviewed and discussed: • Sentic Computing's multi-disciplinary approach to sentiment analysis-evidenced by the concomitant use of AI, linguistics and psychology for knowledge representation and inference • Sentic Computing's shift from syntax to semantics-enabled by the adoption of the bag-of-concepts model instead of simply counting word co-occurrence frequencies in text • Sentic Computing's shift from statistics to linguistics-implemented by allowing sentiments to flow from concept to concept based on the dependency relation between clauses This volume is the first in the Series Socio-Affective Computing edited by Dr Amir Hussain and Dr Erik Cambria and will be of interest to researchers in the fields of socially intelligent, affective and multimodal human-machine interaction and systems. | ||
| 650 | 0 | |a Neurosciences. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Semiotics. | |
| 650 | 0 | |a Cognitive psychology. | |
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| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 650 | 2 | 4 | |a Semiotics. |
| 650 | 2 | 4 | |a Cognitive Psychology. |
| 700 | 1 | |a Hussain, Amir. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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