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Gischat Weibo 100k Fine Tuned Bert

Developed by wsqstar
A Chinese text classification model fine-tuned on the Weibo 100k sentiment analysis dataset based on bert-base-chinese
Downloads 117
Release Time : 4/25/2025

Model Overview

This BERT model is optimized for Chinese Weibo text sentiment analysis tasks, achieving a validation accuracy of 98.67% after fine-tuning on the Weibo 100k dataset

Model Features

High Accuracy
Achieves 98.67% validation accuracy on Weibo sentiment analysis tasks
Chinese Optimization
Optimized for Chinese text based on bert-base-chinese
Lightweight
Uses BERT-base architecture, suitable for most application scenarios

Model Capabilities

Chinese Text Classification
Sentiment Analysis
Weibo Content Analysis

Use Cases

Social Media Analysis
Weibo Sentiment Analysis
Analyze the sentiment tendency of content posted by Weibo users
98.67% accuracy
Public Opinion Monitoring
Public Sentiment Monitoring
Monitor public emotional reactions to specific topics or events
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