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[null,"1.","Record Nr.",null,"UNINA9910298447503321"]
[null,null,"Autore",null,"Cambria Erik"]
[null,null,"Titolo",null,"Sentic Computing : A Common-Sense-Based Framework for Concept-Level Sentiment Analysis / / by Erik Cambria, Amir Hussain"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-319-23654-7"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (196 p.)"]
[null,null,"Collana",null,"Socio-Affective Computing, , 2509-5706 ; ; 1"]
[null,null,"Disciplina",null,"610"]
[null,null,"Soggetti",null,"Neurosciences"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Semantics"]
[{"$nulls":4},"Cognitive psychology"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Cognitive Psychology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Introduction -- SenticNet -- Sentic Patterns -- Sentic Applications -- Conclusion -- Index."]
[null,null,null,"Sommario/riassunto","This volume presents a knowledge-based approach to concept-level sentiment analysis at the crossroads between affective computing, information extraction, and common-sense computing, which exploits both computer and social sciences to better interpret and process information on the Web. Concept-level sentiment analysis goes beyond a mere word-level analysis of text in order to enable a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain. Readers will discover the following key novelties, that make this approach so unique and avant-garde, being reviewed and discussed: •    Sentic Computing's multi-disciplinary approach to sentiment  analysis-evidenced by the concomitant use of AI, linguistics and psychology for knowledge representation and inference •    Sentic Computing’s shift from syntax to semantics-enabled by the adoption of the bag-of-concepts model instead of simply counting word co-occurrence frequencies in text •    Sentic Computing's shift from statistics to linguistics-implemented by allowing sentiments to flow from concept to concept based on the dependency relation between clauses This "]
[{"$nulls":4},"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."]