Robbert V2 Dutch Base Finetuned Emotion Valence
This model is a fine-tuned version of the RobBERT-v2 Dutch base model for emotional valence prediction tasks, designed to predict the valence score (emotional intensity from negative to positive) of Dutch text.
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Release Time : 7/26/2024
Model Overview
This is a fine-tuned model for Dutch sentiment analysis tasks, capable of predicting the emotional valence (intensity from negative to positive) of text. Based on the RobBERT-v2 Dutch base model, it excels in emotional valence prediction.
Model Features
Dutch Sentiment Analysis
Specialized for predicting emotional valence in Dutch text
Efficient Fine-Tuning
Fine-tuned for 50 epochs, reducing validation loss to 0.0317
Stable Performance
Demonstrated stable convergence and strong generalization during training
Model Capabilities
Dutch Text Sentiment Analysis
Emotional Valence Score Prediction
Text Emotion Recognition
Use Cases
Sentiment Analysis
Social Media Sentiment Monitoring
Analyze the emotional tone of Dutch social media posts
Provides emotional valence scores on a 0-1 scale
Customer Feedback Analysis
Evaluate the emotional valence of Dutch customer reviews
Helps quantify customer satisfaction
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