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Text classification model fastText-Trendi-Topics 1.0
The fastText-Trendi-Topics model is a text classification model for categorizing news texts with one of 13 topic labels. It was trained on a set of approx. 36,000 Slovene texts... -
Slovenian keyword extraction dataset from SentiNews 1.0
The dataset consists of 7514 Slovenian news articles from the SentiNews 1.0 corpus by Bučar et al. 2017 (http://hdl.handle.net/11356/1110) which had available article keywords.... -
Text classification model SloBERTa-Trendi-Topics 1.0
The SloBerta-Trendi-Topics model is a text classification model for categorizing news texts with one of 13 topic labels. It was trained on a set of approx. 36,000 Slovene texts...
