BERT EmotionIntensity 0.1
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BERT EmotionIntensity 0.1
Developed by qhchina
A Chinese text emotion intensity detection model fine-tuned based on BERT architecture, capable of distinguishing between weak and strong emotional expressions
Downloads 27
Release Time : 7/7/2024
Model Overview
This model is specifically designed to analyze the intensity of emotional expressions in Chinese texts, identifying whether a text belongs to weak emotion (0) or strong emotion (1) through sequence classification tasks.
Model Features
Chinese Emotion Intensity Analysis
Emotion intensity classifier specifically designed for Chinese texts
BERT Fine-tuned Model
Fine-tuned based on bert-base-chinese architecture, retaining BERT's powerful semantic understanding capabilities
Trained on Social Media Data
Trained using 125,000 real comment data points from the Douban platform
Model Capabilities
Chinese text sentiment analysis
Emotion intensity classification
Long text emotion detection
Use Cases
Social Media Analysis
User Comment Emotion Intensity Assessment
Analyze the intensity of emotional expressions in social media user comments
Can identify extreme emotional expressions
Product Feedback Analysis
Product Review Emotion Classification
Distinguish between mild feedback and strong emotional expressions in user reviews
Helps identify high-emotion feedback that requires priority handling
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