| 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 | 2023-04-03T10:54:32Z |
| dc.date.available | 2023-04-03T10:54:32Z |
| dc.date.issued | 2023-03-27 |
| dc.identifier.uri | http://hdl.handle.net/11356/1782 |
| dc.description | The Trendi corpus is a monitor corpus of Slovene. It contains news from 107 different media websites, published by 72 different publishers. Trendi 2023-02 covers the period from January 2019 to February 2023, complementing the Gigafida 2.0 reference corpus of written Slovene (http://hdl.handle.net/11356/1320). All the contents of the Trendi corpus are at the moment 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. Text classification models are available at http://hdl.handle.net/11356/1709 (Text classification model SloBERTa-Trendi-Topics 1.0), http://hdl.handle.net/11356/1710 (Text classification model fastText-Trendi-Topics 1.0), and https://huggingface.co/cjvt/sloberta-trendi-topics (SloBERTa model). At the moment, the corpus is not available as a 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. |
| 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.replaces | http://hdl.handle.net/11356/1681 |
| dc.relation.isreplacedby | http://hdl.handle.net/11356/1879 |
| 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 2023-02 |
| dc.type | corpus |
| metashare.ResourceInfo#ContentInfo.mediaType | text |
| hidden | hidden |
| has.files | no |
| branding | CLARIN.SI data & tools |
| demo.uri | https://www.clarin.si/kontext/query?corpname=trendi |
| 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 | 700529632 tokens |
| size.info | 586576992 words |
| size.info | 31141264 sentences |
| files.count | 0 |
| files.size | 0 |