The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts
Raoul Biagioni
May 2016 · SpringerBriefs in Cognitive Computation Book 4 · Springer
Ebook
55
Pages
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About this ebook
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.Rate this ebook
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