SkyWalkertT1
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Turkish Bert Stock Market Classification Sentiment
Turkish Stock Market Sentiment Classification Model This model is a BERT-based classification model designed to classify the sentiment of Turkish stock market comments into positive, neutral, and negative categories. It is built on top of the `dbmdz/bert-base-turkish-uncased` model. - Accuracy on test dataset: 97% - Optimized for analyzing Turkish stock market comments. - Detects positive, neutral, and negative sentiments. - Easy to use with Hugging Face `transformers` library. - Supports GPU for faster inference.
license:mit
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crypto_bert_sentiment
license:mit
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