The SenticNet Sentiment Lexicon

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.

Number of Illustrations and Tables
5 b/w illustrations, 8 illustrations in colour
Topics
Neurosciences
Language Translation and Linguistics
Semantics

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