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Autore: | Biagioni Raoul |
Titolo: | The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts / / by Raoul Biagioni |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Edizione: | 1st ed. 2016. |
Descrizione fisica: | 1 online resource (VI, 55 p. 13 illus., 8 illus. in color.) |
Disciplina: | 401.430285 |
Soggetto topico: | Neurosciences |
Natural language processing (Computer science) | |
Semantics | |
Natural Language Processing (NLP) | |
Nota di bibliografia: | Includes bibliographical references at the end of each chapters and index. |
Nota di contenuto: | Introduction -- Sentiment Analysis -- SenticNet -- Unsupervised Sentiment Classification -- Evaluation -- Conclusion -- Index. . |
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. |
Titolo autorizzato: | The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts |
ISBN: | 3-319-38971-8 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910253868203321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |