Berturk Tremo
This model is a fine-tuned version of BERTurk cased on the TREMO Turkish sentiment classification dataset, designed for Turkish sentiment analysis tasks.
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Release Time : 1/2/2023
Model Overview
A sentiment classification model fine-tuned from BERTurk cased, specifically optimized for Turkish text sentiment analysis.
Model Features
Turkish Sentiment Analysis
Sentiment classification model specifically optimized for Turkish language.
Fine-Tuned from BERTurk
Task-specific fine-tuning based on the Turkish pre-trained model.
High Performance
Achieves 94% macro-average F1 score on the TREMO dataset.
Model Capabilities
Turkish Text Classification
Sentiment Analysis
Natural Language Understanding
Use Cases
Sentiment Analysis
Social Media Sentiment Monitoring
Analyze sentiment tendencies in Turkish social media content.
Accurately identifies positive, negative, and neutral sentiments.
Product Review Analysis
Classify sentiments in Turkish product reviews.
Helps businesses understand customer feedback.
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