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Sentimentanalyse
Sentiment Analysis On Dynasent
Sentiment Analysis On Dynasent
Metriken
Macro F1
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Macro F1
Paper Title
GPT-4o Fine-Tuned (Minimal)
89
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis
GPT-4o-mini Fine-Tuned
86.9
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis
GPT-4o + ELECTRA Large FT (Prompt, Label, Examples)
81.53
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis
GPT-4o (Prompt)
80.22
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis
GPT-4o-mini + ELECTRA Large FT (Prompt, Label, Probabilities)
79.72
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis
GPT-4o-mini + ELECTRA Large FT (Prompt, Label)
77.94
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis
GPT-4o + ELECTRA Large FT
77.69
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis
GPT-4o-mini (Prompt)
77.35
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis
ELECTRA Large Fine-Tuned
76.29
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis
GPT-4o-mini + ELECTRA Base FT
76.19
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis
ELECTRA Base Fine-Tuned
71.83
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis
SVM
-
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM
0 of 12 row(s) selected.
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Sentiment Analysis On Dynasent | SOTA | HyperAI