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This study evaluates the performance of bidirectional transformers like BERT and generative pre-trained transformers such as GPT-4o-mini in sentiment analysis within software engineering. The findings indicate that while fine-tuned models perform well on structured datasets, generative models exhibit superior generalization on linguistically complex datasets. The research highlights the need for aligning model architectures with dataset characteristics to optimize sentiment analysis tools for the software e

Author

MY GAMING YT

Language

EN