The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts
1st Edition
Published on 28. May 2016
VI, 55 pages
978-3-319-38971-4 (ISBN)
Description
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.More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
VI, 55 p. 13 illus., 8 illus. in color.
File size
1,32 MB
ISBN-13
978-3-319-38971-4 (9783319389714)
DOI
10.1007/978-3-319-38971-4
Schweitzer Classification
Other editions
Additional editions
Book
06/2016
Springer
€53.49
Shipment within 10-15 days
Content
Introduction.- Sentiment Analysis.- SenticNet.- Unsupervised Sentiment Classification.- Evaluation.- Conclusion.- Index.
