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

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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.

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Detail Information

Series Title

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Call Number

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Publisher

The Author : Springer Cham., 2016

Collation

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Language

English

ISBN/ISSN

978-3-319-38971-4

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Semantics
Neurosciences
Natural Language Processing
(NLP)

Specific Detail Info

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Statement of Responsibility

Raoul Biagioni

Other Information

Cataloger

Yudi

Source

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Validator

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