Repo · Benchmarks & research
Albanian sentiment analysis with Jev
Reproducible study classifying Albanian COVID-19 Facebook comments (AlbAna, three-annotator labels) with TypeSafe Jev and no training, re-running the…
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Sentiment classification of Albanian COVID-19 Facebook comments with TypeSafe's Jev, using no training data. Compared with the 20 models of Kastrati et al. (2021), re-trained on the paper's own split: Jev reaches 75.7 weighted F1 on the test set, against 72.1 for the best re-trained model (mBERT). Includes data, code and report.
How builders describe it
Reproducible study classifying Albanian COVID-19 Facebook comments (AlbAna, three-annotator labels) with TypeSafe Jev and no training, re-running the 20 classifiers of Kastrati et al. (2021) on the paper's own test split; maintainer reports Jev at 75.71 weighted F1 vs 72.08 for mBERT, with…
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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