Comparison of pre-trained bert-based transformer models for regional language text sentiment analysis in indonesia

HIGHLIGHTS

• What: This study compared the performance of eight pre-trained BERT-based models for sentiment analysis across ten regional languages in Indonesia. The authors compare the effectiveness of the models using the NusaX dataset.
• Who: Taufiq Dwi Purnomo and colleagues from the Faculty of Science and Technology, University of Technology Yogyakarta, Indonesia have published the research work: COMPARISON OF PRE-TRAINED BERT-BASED TRANSFORMER MODELS FOR REGIONAL, in the Journal: (JOURNAL)
• How: The results indicated that models pre-trained on Indonesian data specifically IndoBERT (IndoNLU) and NusaBERT generally outperformed the multilingual BERT and . . .
  

   

  

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