4e4be0b0e9e287bf4288a42e6b92ed462eb31ce2
The model developed for this challenge is an ensemble of five well-known machine learning models. These models are trained on numerical representations of the text reviews, which are transformed into 76 features. These features are scaled to the range [0, 1] and include both discrete and continuous variables. poleval-2024

 

challenge
Emotion and sentiment recognition
submitter
Jakub
submitted
2024-09-02 10:00:08.945476 UTC
file basename
out

test-B / ed9757e3a234625a8d2a5caa83f9fd33917e570e
Metric Score
PolevalFinalF1 40.45
PolevalTextF1 28.71
PolevalSentenceF1 52.19

test-A / 5b01d7a6e9f9430962c5d48292ea36b41ac2fdfe
Metric Score
PolevalFinalF1 39.62
PolevalTextF1 28.76
PolevalSentenceF1 50.47

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