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Sentic Computing: A Common-sense-based Framework for Concept-level Sentiment Analysis - Couverture rigide
Synopsis
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.
- 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 andsystems.
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Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis (Socio-Affective Computing, 1)
Edité par
Springer, 2015
ISBN 10 : 3319236539
ISBN 13 : 9783319236537
Ancien ou d'occasion
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Vendeur : HPB-Red, Dallas, TX, Etats-Unis
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hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_367917792
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Sentic Computing. A Common-Sense-Based Framework for Concept-Level Sentiment Analysis.
Edité par
Cham, Springer., 2015
ISBN 10 : 3319236539
ISBN 13 : 9783319236537
Ancien ou d'occasion
Couverture rigide
Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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xxii, 176 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Socio-Affective Computing 1. Sprache: Englisch. N° de réf. du vendeur 6686GB
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Sentic Computing
Edité par
Springer International Publishing Dez 2015, 2015
ISBN 10 : 3319236539
ISBN 13 : 9783319236537
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 clausesThis 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. 200 pp. Englisch. N° de réf. du vendeur 9783319236537
Quantité disponible : 2 disponible(s)
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Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis (Socio-Affective Computing, 1)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New. N° de réf. du vendeur ABLING22Oct2018170259530
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Sentic Computing (Hardcover)
Edité par
Springer International Publishing AG, Cham, 2015
ISBN 10 : 3319236539
ISBN 13 : 9783319236537
Neuf
Couverture rigide
Edition originale
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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 Computings 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 clausesThis 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 andsystems. Sentic Computing Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783319236537
Quantité disponible : 1 disponible(s)
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Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis
Edité par
Springer International Publishing, 2015
ISBN 10 : 3319236539
ISBN 13 : 9783319236537
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First approach to sentiment analysis that merges AI, linguistics, and psychologyComprehensive explanation of popular sentic computing techniquesFull set of linguistic patterns for sentiment analysisDownloadable knowledge base. N° de réf. du vendeur 43799534
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Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis (Socio-Affective Computing)
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. 300. N° de réf. du vendeur 26372723142
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Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis (Socio-Affective Computing)
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. Print on Demand pp. 300. N° de réf. du vendeur 373355033
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Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis (Socio-Affective Computing)
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND pp. 300. N° de réf. du vendeur 18372723148
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Sentic Computing: A Common-sense-based Framework for Concept-level Sentiment Analysis
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 300 pages. 9.25x6.25x0.50 inches. In Stock. N° de réf. du vendeur x-3319236539
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