Sentiment (negative / neutral / positive) for Vietnamese student feedback about university courses. PhoBERT-base fine-tuned on UIT-VSFC with diacritic and teencode augmentation and, at every step, trained to give a real informally typed comment the label a frozen teacher gives its normalized form. Real typing changes 12% of its labels, against 18% for the same model without that training. Shipped as the ONNX FP32 graph the ViFeedback service runs, plus the PyTorch checkpoint it was exported from. Code, evaluation protocol and every number below: https://github.com/ThanhDatVN/ViFeedback-NLP-Service The model expects pyvi word-segmented, lowercase text (giảngviên nhiệttình), at most 96…
Independent publisher
Le Thanh Dat
Datk4
Models in Library1
Datasets in Library0
Models on Hugging Face1
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Published tasks: Text classification.
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