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Da Emotion Classification Base
D
Da Emotion Classification Base
Developed by alexandrainst
A Danish BERT-based text emotion classification model that categorizes Danish text into 8 emotion categories
Downloads 57
Release Time : 3/2/2022
Model Overview
This model can classify Danish text into 8 emotion categories, suitable for scenarios such as social media text analysis. It is based on the BotXO pre-trained Danish BERT model and fine-tuned on social media data.
Model Features
Multi-emotion Classification
Can classify text into 8 different emotion categories, covering a wide range of emotional states
Danish Language Optimization
Based on the Danish BERT pre-trained model, specifically optimized for Danish text
Social Media Data Fine-tuning
Fine-tuned on social media data, making it suitable for analyzing emotions in social media text
Model Capabilities
Danish text emotion classification
Multi-category sentiment analysis
Use Cases
Social Media Analysis
User Sentiment Monitoring
Analyze users' emotional reactions to brands or products on social media
Identify 8 different emotional states
Content Sentiment Analysis
Evaluate the emotional tendency of social media content
Provide fine-grained emotion classification
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