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Fig 4 - Advancing sentiment analysis for low-resourced african languages using pre-trained language models

Domaine:

natural language processing

Type de record:

paper
Créateur:
KoeMphTur
Hôte:avatar

Mean F1 scores for all models with 95% confidence intervals across five African languages. The error bars represent the confidence interval width for each model, reflecting the variability in performance across different languages.

Visit

figshare.com

Tasks

sentiment analysistext classification

Tags

EcologySociologyImmunologyScience PolicyBiological Sciences not elsewhere classifiedpopulation without accessleverage existing plmstwitter sentiment datasetafrican languages posesadvancing sentiment analysis+32

Licenses

CC BY 4.0