News sentiment analysis datasets for Serbian, Bosnian, Macedonian, Albanian and Estonian SADEmma 1.0

Name: News sentiment analysis datasets for Serbian, Bosnian, Macedonian, Albanian and Estonian SADEmma 1.0
License: https://creativecommons.org/licenses/by-sa/4.0/

Ivačič, Nikola; Pelicon, Andraž; Koloski, Boshko; Pollak, Senja; Purver, Matthew

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dc.contributor.author	Ivačič, Nikola
dc.contributor.author	Pelicon, Andraž
dc.contributor.author	Koloski, Boshko
dc.contributor.author	Pollak, Senja
dc.contributor.author	Purver, Matthew
dc.date.accessioned	2024-11-13T11:22:31Z
dc.date.available	2024-11-13T11:22:31Z
dc.date.issued	2024-11-13
dc.identifier.uri	http://hdl.handle.net/11356/1987
dc.description	We provide annotated datasets on a three-point sentiment scale (positive, neutral and negative) for Serbian, Bosnian, Macedonian, Albanian, and Estonian. For all languages except Estonian, we include pairs of source URL (where corresponding text can be found) and sentiment label. For Estonian, we randomly sampled 100 articles from "Ekspress news article archive (in Estonian and Russian) 1.0" (http://hdl.handle.net/11356/1408). The data is organized in Tab-Separated Values (TSV) format. For Serbian, Bosnian, Macedonian, and Albanian, the dataset contains two columns: sourceURL and sentiment. For Estonian, the dataset consists of three columns: text ID (from the CLARIN.SI reference above), body text, and sentiment label.
dc.language.iso	bos
dc.language.iso	srp
dc.language.iso	mkd
dc.language.iso	sqi
dc.language.iso	est
dc.publisher	Jožef Stefan Institute
dc.rights	Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.rights.uri	https://creativecommons.org/licenses/by-sa/4.0/
dc.rights.label	PUB
dc.source.uri	https://emma.ijs.si/
dc.subject	closely related languages
dc.subject	sentiment analysis
dc.subject	sentiment classification
dc.title	News sentiment analysis datasets for Serbian, Bosnian, Macedonian, Albanian and Estonian SADEmma 1.0
dc.type	corpus
metashare.ResourceInfo#ContentInfo.mediaType	text
has.files	yes
branding	CLARIN.SI data & tools
contact.person	Boshko Koloski boshko.koloski@ijs.si Jožef Stefan Institute
contact.person	Nikola Ivačič nikola.ivacic@ijs.si Jožef Stefan Institute
sponsor	ARRS (Slovenian Research Agency) L2-50070 Embeddings-based techniques for Media Monitoring Applications nationalFunds
size.info	898 items
files.count	5
files.size	356799