The senticnet sentiment lexicon [electronic resource] : exploring semantic richness in multi-word concepts / Raoul Biagioni.
Biagioni, Raoul, author.
2016
P325.5.D38
Available Online

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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
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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Record Appears in Online Resources > Ebooks
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Introduction
Sentiment Analysis
SenticNet
Unsupervised Sentiment Classification
Evaluation
Conclusion
Index. .

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