vietnamese-sentiment-phobert – AI Model by sanvo | AlphaNeural AI

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sanvo/
vietnamese-sentiment-phobert

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text-classification

sentiment-analysis

custom-vietnamese-reviews

endpoints_compatible

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Vietnamese Sentiment Analysis with PhoBERT

Fine-tuned VinAI/PhoBERT-base for 3-class sentiment classification on Vietnamese product reviews.

Model Description

This model classifies Vietnamese text into three sentiment categories:

Positive (tích cực)
Neutral (trung lập)
Negative (tiêu cực)

Training Data

10,000+ Vietnamese product reviews
Balanced across 3 sentiment classes
Preprocessed with Vietnamese word segmentation

Performance

Metric	Score
Accuracy	85%
F1-Score (weighted)	0.84

Usage

python

from transformers import pipeline

classifier = pipeline("text-classification", model="sanvo/vietnamese-sentiment-phobert")
result = classifier("Sản phẩm rất tốt, tôi rất hài lòng")
print(result)

Training Details

Base model: vinai/phobert-base
Epochs: 5
Batch size: 16
Learning rate: 2e-5
Max length: 256 tokens
Optimizer: AdamW with linear warmup