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dc.contributor.author Kosem, Iztok
dc.contributor.author Čibej, Jaka
dc.contributor.author Dobrovoljc, Kaja
dc.contributor.author Erjavec, Tomaž
dc.contributor.author Ljubešić, Nikola
dc.contributor.author Ponikvar, Primož
dc.contributor.author Šinkec, Mihael
dc.contributor.author Krek, Simon
dc.date.accessioned 2024-12-04T09:17:27Z
dc.date.available 2024-12-04T09:17:27Z
dc.date.issued 2024-12-04
dc.identifier.uri http://hdl.handle.net/11356/2001
dc.description The Trendi corpus is a monitor corpus of Slovenian. It contains news articles from 106 media websites, published by 76 publishers. Trendi 2024-11 covers the period from January 2019 to November 2024, complementing the Gigafida 2.0 reference corpus of written Slovene (http://hdl.handle.net/11356/1320). The contents of the Trendi corpus are obtained using the Jožef Stefan Institute Newsfeed service (http://newsfeed.ijs.si/). The texts have been annotated using the CLASSLA-Stanza pipeline (https://github.com/clarinsi/classla), including syntactic parsing according to the Universal Dependencies (https://universaldependencies.org/sl/) and Named Entities (https://nl.ijs.si/janes/wp-content/uploads/2017/09/SlovenianNER-eng-v1.1.pdf). An important addition are topics or thematical categories, which have been automatically assigned to each text. There are 13 categories altogether: Arts and culture, Crime and accidents, Economy, Environment, Health, Leisure, Politics and Law, Science and Technology, Society, Sports, Weather, Entertainment, and Education. The text classification uses the following models: Text classification model SloBERTa-Trendi-Topics 1.0 (http://hdl.handle.net/11356/1709), Text classification model fastText-Trendi-Topics 1.0 (http://hdl.handle.net/11356/1710), and the SloBERTa model (https://huggingface.co/cjvt/sloberta-trendi-topics). The corpus is currently not available as a downloadable dataset due to copyright restrictions but we hope to make at least some of it available in the near future. The corpus is accessible through CLARIN.SI concordancers. If you would like to use the dataset for research purposes, please contact Iztok Kosem (iztok.kosem@ijs.si). This version adds texts from November 2024.
dc.language.iso slv
dc.publisher Jožef Stefan Institute
dc.publisher Centre for Language Resources and Technologies, University of Ljubljana
dc.relation.isreferencedby http://euralex.org/wp-content/themes/euralex/proceedings/Euralex%202022/EURALEX2022_Pr_p230-239_Kosem.pdf
dc.relation.isreferencedby https://nl.ijs.si/jtdh22/pdf/JTDH2022_Kosem-et-al_Spremljevalni-korpus-Trendi.pdf
dc.relation.isreferencedby https://doi.org/10.4312/slo2.0.2023.1.161-188
dc.relation.replaces http://hdl.handle.net/11356/1981
dc.relation.isreplacedby http://hdl.handle.net/11356/2007
dc.source.uri https://sled.ijs.si/
dc.subject monitor corpus
dc.subject news corpus
dc.subject universal dependencies
dc.subject temporal trends
dc.subject topic attribution
dc.title Monitor corpus of Slovene Trendi 2024-11
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
has.files no
branding CLARIN.SI data & tools
contact.person Iztok Kosem iztok.kosem@ijs.si Jožef Stefan Institute
sponsor Ministry of Culture of the Republic of Slovenia JR-infrastruktura-SJ-2021-2022 SLED - Monitor corpus of Slovene and related resources nationalFunds
sponsor University of Ljubljana I0-0022 Network of Research Infrastructure Centres (MRIC) nationalFunds
sponsor ARRS (Slovenian Research Agency) P6-0411 Language Resources and Technologies for Slovene nationalFunds
size.info 1014924429 tokens
size.info 850327266 words
size.info 2583568 texts
files.count 0
files.size 0


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