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T. Siallagan

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Open access Aug 2026

WEIGHTED LOSS STRATEGY FOR BERT-BASED TWITTER SENTIMENT ANALYSIS WITHOUT SYNTHETIC OVERSAMPLING

Empirical evidence is provided that, within the present experimental configuration, a properly optimized weighted loss strategy offers a viable and computationally efficient alternative to synthetic oversampling for BERT-based Twitter sentiment classification.

T. Siallagan, R. Winanjaya, Juni Ismail · 0 citations

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