The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts / / by Raoul Biagioni
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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 |
Serie:
SpringerBriefs in Cognitive Computation, . 2212-6023 ; ; 4