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[null,"1.","Record Nr.",null,"UNINA9910253868203321"]
[null,null,"Autore",null,"Biagioni Raoul"]
[null,null,"Titolo",null,"The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts / / by Raoul Biagioni"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016"]
[null,null,"ISBN",null,"3-319-38971-8"]
[null,null,"Edizione",null,"[1st ed. 2016.]"]
[null,null,"Descrizione fisica",null,"1 online resource (VI, 55 p. 13 illus., 8 illus. in color.)"]
[null,null,"Collana",null,"SpringerBriefs in Cognitive Computation, , 2212-6023 ; ; 4"]
[null,null,"Disciplina",null,"401.430285"]
[null,null,"Soggetti",null,"Neurosciences"]
[{"$nulls":4},"Natural language processing (Computer science)"]
[{"$nulls":4},"Semantics"]
[{"$nulls":4},"Natural Language Processing (NLP)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"Introduction -- Sentiment Analysis -- SenticNet -- Unsupervised Sentiment Classification -- Evaluation -- Conclusion -- Index. ."]
[null,null,null,"Sommario/riassunto","The research and its outcomes presented in this book, is about lexicon-based sentiment analysis. It uses single-, and multi-word concepts from the SenticNet sentiment lexicon as the source of sentiment information for the purpose of sentiment classification. In 6 chapters the book sheds light on the comparison of sentiment classification accuracy between single-word and multi-word concepts, for which a bespoke sentiment analysis system developed by the author was used. This book will be of interest to students, educators and researchers in the field of Sentic Computing."]