Bert Base Turkish Cased Emotion Analysis
A sentiment analysis model fine-tuned based on the Turkish BERT model, demonstrating outstanding performance on evaluation datasets
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Release Time : 3/21/2023
Model Overview
This model is a sentiment analysis model fine-tuned from dbmdz/bert-base-turkish-cased, specifically designed for Turkish text sentiment classification tasks
Model Features
High Accuracy
Achieves 99.5% accuracy and F1 score on evaluation datasets
Turkish Language Specialization
Fine-tuned based on Turkish pre-trained models, suitable for Turkish text processing
Lightweight Fine-tuning
Only requires 2 training rounds to achieve excellent performance
Model Capabilities
Turkish Text Classification
Sentiment Analysis
Natural Language Processing
Use Cases
Social Media Analysis
Turkish Social Media Sentiment Monitoring
Analyze user sentiment tendencies in Turkish social media content
High-accuracy sentiment classification
Customer Feedback Analysis
Turkish Customer Review Sentiment Analysis
Automatically classify positive/negative sentiments in Turkish customer reviews
Fast and accurate sentiment classification
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