Comparing the utility of different classification schemes for emotive language analysis

DOI10.1007/S00357-019-9307-0zbMath1436.62295OpenAlexW2914073361WikidataQ127888929 ScholiaQ127888929MaRDI QIDQ2304099

Michael Arribas-Ayllon, Lowri Williams, Irena Spasić, Andreas Artemiou

Publication date: 6 March 2020

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-019-9307-0

zbMATH Keywords

text classificationcrowdsourcingsentiment analysissupervised machine learningannotation

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• WEKA
• bootlib
• Unnamed Item

Cites Work

• Unnamed Item
• Unnamed Item

This page was built for publication: Comparing the utility of different classification schemes for emotive language analysis