The senticnet sentiment lexicon : exploring semantic richness in multi-word concepts / Raoul Biagioni.

"The research and its outcomes presented in this book, is about lexicon-based sentiment analysis. It uses single-, and multi-word concepts from the Sentic Net sentiment lexicon as the source of sentiment information for the purpose of sentiment classification.In 6 chapters the book sheds light...

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Bibliographic Details
Main Author: Biagioni, Raoul (Author)
Format: Ebook
Language:English
Published: Switzerland : Springer, 2016.
Series:SpringerBriefs in cognitive computation ; volume 4.
Subjects:
Online Access:Springer eBooks
Description
Summary:"The research and its outcomes presented in this book, is about lexicon-based sentiment analysis. It uses single-, and multi-word concepts from the Sentic Net 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."--Publisher's website.
Physical Description:1 online resource (vi, 55 pages) : illustrations (some colour).
Format:Mode of access: World Wide Web.
Bibliography:Includes bibliographical references and index.
ISBN:3319389718
9783319389714
ISSN:2212-6023 ;
2212-6031
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