The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts

Nonfiction, Health & Well Being, Medical, Specialties, Internal Medicine, Neuroscience, Computers, Advanced Computing, Science & Nature, Science
Cover of the book The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts by Raoul Biagioni, Springer International Publishing
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Author: Raoul Biagioni ISBN: 9783319389714
Publisher: Springer International Publishing Publication: May 28, 2016
Imprint: Springer Language: English
Author: Raoul Biagioni
ISBN: 9783319389714
Publisher: Springer International Publishing
Publication: May 28, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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