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

Lieferzeit: Lieferbar innerhalb 14 Tagen

53,49 

SpringerBriefs in Cognitive Computation 4

ISBN: 331938970X
ISBN 13: 9783319389707
Autor: Biagioni, Raoul
Verlag: Springer Verlag GmbH
Umfang: vi, 55 S., 5 s/w Illustr., 8 farbige Illustr., 55 p. 13 illus., 8 illus. in color.
Erscheinungsdatum: 06.06.2016
Auflage: 1/2016
Produktform: Kartoniert
Einband: Kartoniert

Presents statistical analysis of SenticNet that has not been produced beforeOffers original research into concept-level and knowledge-based sentiment analysis using the SenticNet sentiment lexiconBroadens understanding of sentiment analysisIncludes supplementary material: sn.pub/extras

Artikelnummer: 9322578 Kategorie:

Beschreibung

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.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …