The SenticNet Sentiment Lexicon: Exploring Semantic Richness in Multi-Word Concepts / SpringerBriefs in Cognitive Computation Bd.4 (PDF)
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- Autor: Raoul Biagioni
- 2016, 1st ed. 2016, 55 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319389718
- ISBN-13: 9783319389714
- Erscheinungsdatum: 28.05.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 1.26 MB
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Englisch
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