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Phobert Sentiment Analysis
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Phobert Sentiment Analysis

Developed by phanlamthanhdu
A sentiment analysis model fine-tuned from vinai/phobert-base-v2, achieving 93.6% accuracy on the evaluation set
Text Classification
Transformers
#Vietnamese sentiment analysis#High accuracy#PhoBERT fine-tuning
Downloads 68
Release Time : 3/25/2025

Model Overview

This is a pre-trained model for sentiment analysis of Vietnamese text, capable of determining the emotional tendency of text

Model Features

High accuracy
Achieves 93.6% accuracy and 93.7% F1 score on the evaluation set
Based on PhoBERT
Fine-tuned from the Vietnamese pre-trained model vinai/phobert-base-v2, optimized for Vietnamese
Comprehensive evaluation metrics
Provides multi-dimensional evaluation results including accuracy, precision, recall, and F1 score

Model Capabilities

Vietnamese text sentiment analysis
Text classification
Sentiment tendency judgment

Use Cases

Social media analysis
Comment sentiment analysis
Analyze the sentiment tendency of Vietnamese social media comments
Can accurately identify positive/negative comments
Customer feedback analysis
Product review classification
Perform sentiment classification on Vietnamese product reviews
Helps businesses understand customer satisfaction
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