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Phobert Base Vietnamese Sentiment

Developed by wonrax
A Vietnamese sentiment analysis model fine-tuned based on PhoBERT-base, used to classify the sentiment tendency of Vietnamese texts (positive/negative/neutral)
Downloads 11.32k
Release Time : 5/3/2022

Model Overview

This model is a sentiment classifier fine-tuned from vinai/phobert-base, specifically designed to analyze the sentiment tendency of Vietnamese texts, suitable for scenarios such as e-commerce reviews.

Model Features

Vietnamese Sentiment Analysis
Sentiment classification capability optimized specifically for Vietnamese texts
E-commerce Review Optimization
Fine-tuned on a dataset of 30,000 e-commerce reviews, suitable for e-commerce scenarios
Three-class Output
Can identify three types of sentiments: positive (POS), negative (NEG), and neutral (NEU)

Model Capabilities

Vietnamese Text Classification
Sentiment Tendency Analysis
E-commerce Review Analysis

Use Cases

E-commerce Analysis
Product Review Sentiment Analysis
Automatically analyze the sentiment tendency of user reviews on products
Accurately classify reviews as positive/negative/neutral
Service Quality Evaluation
Extract sentiment information from customer feedback to evaluate service quality
Help businesses understand customer satisfaction
Social Media Monitoring
Public Opinion Analysis
Monitor public sentiment on Vietnamese social media
Identify negative public opinion trends
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