The senticnet sentiment lexicon [electronic resource] : exploring semantic richness in multi-word concepts / Raoul Biagioni.
2016
P325.5.D38
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Details
Title
The senticnet sentiment lexicon [electronic resource] : exploring semantic richness in multi-word concepts / Raoul Biagioni.
Author
Biagioni, Raoul, author.
ISBN
9783319389714 (electronic book)
3319389718 (electronic book)
9783319389707
3319389718 (electronic book)
9783319389707
Published
Switzerland : Springer, 2016.
Language
English
Description
1 online resource (vi, 55 pages) : illustrations.
Call Number
P325.5.D38
Dewey Decimal Classification
006.3/5
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 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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 7, 2016).
Series
SpringerBriefs in cognitive computation ; volume 4.
Available in Other Form
Senticnet sentiment lexicon : exploring semantic richness in multi-word concepts.
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Table of Contents
Introduction
Sentiment Analysis
SenticNet
Unsupervised Sentiment Classification
Evaluation
Conclusion
Index. .
Sentiment Analysis
SenticNet
Unsupervised Sentiment Classification
Evaluation
Conclusion
Index. .