The SenticNet Sentiment Lexicon
The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts
Springer | Neuroscience | June 29, 2016 | ISBN-10: 331938970X | 51 pages | pdf | 1.26 mb
Authors: Biagioni, Raoul
Presents statistical analysis of SenticNet that has not been produced before
Offers original research into concept-level and knowledge-based sentiment analysis using the SenticNet sentiment lexicon
Broadens understanding of sentiment analysis
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.