Twitter sentiment for 15 European languages

PID

The dataset contains over 1.6 million tweets (tweet IDs), labeled with sentiment by human annotators. There are 15 Twitter corpora for the corresponding 15 European languages. The data can be used to train and evaluate Twitter sentiment classifiers, to compute annotator agreement, or to study the differences between language usage on Twitter.

The data analysis is described in the following papers:

I. Mozetič, M. Grčar, J. Smailović. Multilingual Twitter sentiment classification: The role of human annotators, PLoS ONE 11(5): e0155036, doi: 10.1371/journal.pone.e0155036, 2016. (http://dx.doi.org/10.1371/journal.pone.0155036)

I. Mozetič, L. Torgo, V. Cerqueira, J. Smailović. How to evaluate sentiment classifiers for Twitter time-ordered data?, PLoS ONE 13(3): e0194317, doi: 10.1371/journal.pone.0194317, 2018. (https://dx.doi.org/10.1371/journal.pone.0194317)

Identifier
PID http://hdl.handle.net/11356/1054
Related Identifier https://dx.doi.org/10.1371/journal.pone.0155036
Related Identifier https://dx.doi.org/10.1371/journal.pone.0194317
Metadata Access http://www.clarin.si/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:www.clarin.si:11356/1054
Provenance
Creator Mozetič, Igor; Grčar, Miha; Smailović, Jasmina
Publisher Jožef Stefan Institute
Publication Year 2016
Funding Reference info:eu-repo/grantAgreement/EC/FP7/610704; info:eu-repo/grantAgreement/EC/FP7/317532; info:eu-repo/grantAgreement/EC/H2020/640772
Rights Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0); https://creativecommons.org/licenses/by-sa/4.0/; PUB
OpenAccess true
Contact info(at)clarin.si
Representation
Language Albanian; Bosnian; Bulgarian; Croatian; English; German; Hungarian; Polish; Portuguese; Serbian; Russian; Slovak; Slovenian; Slovene; Spanish; Castilian; Swedish
Resource Type corpus
Format text/plain; application/octet-stream; text/plain; charset=utf-8; downloadable_files_count: 16
Discipline Linguistics