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

1. Auflage 2016
ISBN: 978-3-319-38970-7
Verlag: Springer

Buch, Englisch, Band 4, 55 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1241 g

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

Fachgebiete

• Geisteswissenschaften Sprachwissenschaft Semantik & Pragmatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft
• Mathematik | Informatik EDV | Informatik Informatik Natürliche Sprachen & Maschinelle Übersetzung

Inhaltsverzeichnis

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