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The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts
Description
1st ed. 2016 edition
by Raoul Biagioni (Author)
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.
Details
Year:
2016
Pages:
59
Language:
English
Format:
PDF
Size:
1 MB
ISBN-10:
331938970X
ISBN-13:
978-3319389707
ASIN:
B01G9RMVMM
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