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dc.contributor.author Kadunc, Klemen
dc.contributor.author Robnik-Šikonja, Marko
dc.date.accessioned 2017-05-28T08:41:45Z
dc.date.available 2017-05-28T08:41:45Z
dc.date.issued 2017-05-28
dc.identifier.uri http://hdl.handle.net/11356/1115
dc.description The corpus of web commentaries with sentiment categorizations was developed as a part of BSc Thesis (Kadunc, 2016) and served for evaluation of the Slovene Sentiment Lexicon KSS http://hdl.handle.net/11356/1097. It contains web commentaries about different topics (business, politics, sport, and other) from 4 Slovene web portals (RtvSlo, 24ur, Finance, Reporter). The corpus is in XML format and available in two forms: - original corpus, containing 4,777 commentaries, 898 positive, 3,291 negative and 588 neutral commentaries. - balanced corpus, a subset of the original corpus, containing 1,740 commentaries, 580 of each type of sentiment (positive, negative and neutral). References: Klemen Kadunc (2016). Določanje sentimenta slovenskim spletnim komentarjem s pomočjo strojnega učenja. Diplomsko delo. Univerza v Ljubljani, Fakulteta za računalništvo in informatiko (in Slovene). http://eprints.fri.uni-lj.si/3317/ Klemen Kadunc, Marko Robnik-Šikonja (2016). Analiza mnenj s pomočjo strojnega učenja in slovenskega leksikona sentimenta. Conference on Language Technologies & Digital Humanities, Ljubljana (in Slovene). http://www.sdjt.si/wp/dogodki/konference/jtdh-2016/zbornik/
dc.language.iso slv
dc.publisher Faculty of Computer and Information Science, University of Ljubljana
dc.rights Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.label PUB
dc.source.uri http://lkm.fri.uni-lj.si/rmarko/repozitorij/opinionCorpus
dc.subject web commentaries
dc.subject opinion corpus
dc.subject sentiment analysis
dc.title Opinion corpus of Slovene web commentaries KKS 1.001
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
has.files yes
branding CLARIN.SI data & tools
contact.person Marko Robnik-Šikonja marko.robnik@fri.uni-lj.si Faculty of Computer and Information Science, University of Ljubljana
size.info 4777 texts
files.count 4
files.size 5999728


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original opinion corpus
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balanced opinion corpus
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Kadunc & Robnik-Šikonja, 2016
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Kadunc, 2016, BSc thesis
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