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library_name: transformers
tags:
- finance
- twitter
- prediction
- ner
- named-entity-recognition
- turkish
- transformers
- bert
license: mit
base_model:
- dbmdz/bert-base-turkish-128k-uncased
---
# 🧠 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
```python
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.") |