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The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts
Title:
The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts
Author:
Biagioni, Raoul. author.
ISBN:
9783319389714
Personal Author:
Physical Description:
VI, 55 p. 13 illus., 8 illus. in color. online resource.
Series:
SpringerBriefs in Cognitive Computation, 4
Contents:
Introduction -- Sentiment Analysis -- SenticNet -- Unsupervised Sentiment Classification -- Evaluation -- Conclusion -- Index. .
Abstract:
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.
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