The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts

• Κύριος συγγραφέας: Biagioni, Raoul (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: SpringerBriefs in Cognitive Computation, 4
• Θέματα: Medicine.; Neurosciences.; Computational linguistics.; Semantics.; Biomedicine.; Language Translation and Linguistics.
• Φυσική περιγραφή: VI, 55 p. 13 illus., 8 illus. in color. online resource.
• ISBN: 9783319389714
• ISSN: 2212-6023 ;

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.