The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts
Biagioni, Raoul.
The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts [recurso electrónico] / by Raoul Biagioni. - VI, 55 p. 13 illus., 8 illus. in color. online resource. - SpringerBriefs in Cognitive Computation, 4 2212-6023 ; . - SpringerBriefs in Cognitive Computation, 4 .
Introduction -- Sentiment Analysis -- SenticNet -- Unsupervised Sentiment Classification -- Evaluation -- Conclusion -- Index.
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.
9783319389714
Medicine.
Neurosciences.
Computational linguistics.
Semantics.
Biomedicine.
Neurosciences.
Language Translation and Linguistics.
Semantics.
RC321-580
612.8
The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts [recurso electrónico] / by Raoul Biagioni. - VI, 55 p. 13 illus., 8 illus. in color. online resource. - SpringerBriefs in Cognitive Computation, 4 2212-6023 ; . - SpringerBriefs in Cognitive Computation, 4 .
Introduction -- Sentiment Analysis -- SenticNet -- Unsupervised Sentiment Classification -- Evaluation -- Conclusion -- Index.
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.
9783319389714
Medicine.
Neurosciences.
Computational linguistics.
Semantics.
Biomedicine.
Neurosciences.
Language Translation and Linguistics.
Semantics.
RC321-580
612.8
