phobert-base-vi-sentiment-analysis
| Property | Value |
|---|---|
| Parameter Count | 135M |
| Model Type | Text Classification |
| Architecture | PhoBERT-base |
| Training Data | 31,436 product reviews |
| License | Open Source |
What is phobert-base-vi-sentiment-analysis?
This is a specialized Vietnamese language sentiment analysis model built on VinAI's PhoBERT-base architecture. The model is designed to analyze Vietnamese text and classify sentiments into three categories: positive (Tích cực), negative (Tiêu cực), and neutral (Trung tính). With 135M parameters, it offers robust sentiment analysis capabilities specifically tailored for Vietnamese language content.
Implementation Details
The model is implemented using the Transformers library and PyTorch backend. It utilizes a fine-tuned version of PhoBERT-base, trained on a curated dataset of over 31,000 product reviews. The model outputs probability scores for each sentiment category, allowing for nuanced sentiment analysis.
- Built on VinAI's PhoBERT-base architecture
- Trained on 31,436 annotated product reviews
- Supports three sentiment classes with probability outputs
- Implements efficient tokenization for Vietnamese text
Core Capabilities
- Vietnamese text sentiment classification
- Multi-class sentiment probability scoring
- Support for batch processing
- Efficient processing of Vietnamese language nuances
Frequently Asked Questions
Q: What makes this model unique?
This model is specifically optimized for Vietnamese language sentiment analysis, utilizing the powerful PhoBERT architecture and trained on a large dataset of product reviews. It provides precise sentiment classification with probability scores for positive, negative, and neutral categories.
Q: What are the recommended use cases?
The model is ideal for analyzing customer feedback, social media monitoring, product review analysis, and any application requiring sentiment analysis of Vietnamese text. It's particularly well-suited for business analytics and customer experience monitoring in Vietnamese markets.
