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

1. Auflage 2016
ISBN: 978-3-319-38971-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 55 Seiten

Reihe: SpringerBriefs in Cognitive Computation

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.

Zielgruppe

Research

Autoren/Hrsg.

Biagioni, Raoul

Inhaltsverzeichnis

Introduction.- Sentiment Analysis.- SenticNet.- Unsupervised Sentiment Classification.- Evaluation.- Conclusion.- Index.