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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Main Author: | |
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Format: | Ebook |
Language: | English |
Published: |
Switzerland :
Springer,
2016.
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Series: | SpringerBriefs in cognitive computation ;
volume 4. |
Subjects: | |
Online Access: | Springer eBooks |
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. |
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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 |