🧠 Prediction Phrase Extractor (NER)

This is a fine-tuned Named Entity Recognition (NER) model that extracts stock prediction phrases from Turkish financial tweets. These prediction phrases are later passed into a sentiment classifier for further analysis.

🧾 Example predictions:

• "will reach 70 TL"
• "to moon soon"
• "drop to 50 in 2 weeks"

---

🧠 Model Details

• Developed by: damlakonur
• Model type: BERT fine-tuned for token-classification
• Language(s): Turkish
• Finetuned from: bert-base-cased
• Entity type: Tahmin (prediction phrase)
• License: MIT

---

🚀 How to Use

from transformers import pipeline

model = pipeline(
    "token-classification",
    model="your-username/prediction-text-ner-bist30",
    aggregation_strategy="simple"
)

model("EREGL will reach 45 TL in June.")