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Finbert Finnsentiment
F
Finbert Finnsentiment
Developed by fergusq
This is a FinBERT model fine-tuned for Finnish sentiment analysis tasks, trained and evaluated using the FinnSentiment dataset.
Downloads 10.92k
Release Time : 3/2/2022
Model Overview
This model is based on the FinBERT architecture, specifically designed for sentiment analysis tasks in Finnish text, capable of classifying sentiment tendencies.
Model Features
High accuracy
Achieves 86.39% accuracy on the FinnSentiment test set
Comprehensive evaluation metrics
Provides multiple evaluation metrics including accuracy, F1 score, precision, recall, and Matthews correlation coefficient
Finnish language optimization
Specially optimized for Finnish text, suitable for Finnish sentiment analysis tasks
Model Capabilities
Finnish text classification
Sentiment analysis
Natural language processing
Use Cases
Sentiment analysis
Social media sentiment monitoring
Analyze sentiment tendencies in Finnish social media content
Accurately identifies positive, negative, and neutral sentiments
Product review analysis
Perform sentiment classification on Finnish product reviews
Helps businesses understand customer feedback
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