Sentiment-Analysis-BERT
AmirhosseinHonardoust
End-to-end sentiment analysis of tweets using BERT. Includes preprocessing, training, and evaluation with classification reports, confusion matrices, ROC curves, and word clouds. Demonstrates fine-tuning of transformer models for text classification with modular, reproducible code.
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4 data points · 2026-04-13 → 2026-08-02How do you feel about this project?
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Question copied to clipboardWhat is the AmirhosseinHonardoust/Sentiment-Analysis-BERT GitHub project? Description: "End-to-end sentiment analysis of tweets using BERT. Includes preprocessing, training, and evaluation with classification reports, confusion matrices, ROC curves, and word clouds. Demonstrates fine-tuning of transformer models for text classification with modular, reproducible code.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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