The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts

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Éditeur :

Springer


Paru le : 2016-05-28

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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.
Pages
55 pages
Collection
n.c
Parution
2016-05-28
Marque
Springer
EAN papier
9783319389707
EAN EPUB
9783319389714

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
399 Ko
Prix
52,74 €

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