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Bert Base Chinese Finetuned Sentiment

Developed by jackietung
A BERT-based Chinese sentiment analysis model for determining the emotional tendency of text (positive, negative, or neutral).
Downloads 705
Release Time : 3/8/2025

Model Overview

This model is a fine-tuned Chinese sentiment analysis model based on bert-base-chinese, suitable for sentiment analysis of App reviews in Chinese.

Model Features

Chinese Sentiment Analysis
Specifically designed for sentiment analysis of Chinese texts, supporting three types of sentiment classification: positive, negative, and neutral.
Fine-tuned Based on BERT
Fine-tuned from the bert-base-chinese model, inheriting BERT's powerful semantic understanding capabilities.
Focal Loss Training
Uses Focal Loss to address class imbalance issues, improving the model's performance on minority classes.
Optimized for App Reviews
Particularly suitable for sentiment analysis scenarios involving mobile app reviews.

Model Capabilities

Chinese Text Sentiment Classification
App Review Sentiment Analysis
Three-class Sentiment Judgment

Use Cases

Product Feedback Analysis
App Review Sentiment Analysis
Analyze the sentiment tendencies of user reviews in app stores
Can automatically identify positive, negative, and neutral user feedback
Social Media Monitoring
Brand Sentiment Monitoring
Monitor sentiment tendencies about brands on social media
Helps brands understand changes in public sentiment
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