Update README.md

README.md

@@ -5,7 +5,7 @@ Korean Pre-Trained Crypto DeBERTa model fine-tuned on BTC sentiment classificati
 
 For more details, check our work [CBITS: Crypto BERT Incorporated Trading System](https://ieeexplore.ieee.org/document/10014986) on IEEE Access.
 
-## Example Use Case: BTC Sentiment Classification
+## Example Use Case: Crypto News BTC Sentiment Classification
 ```python
 from transformers import AutoModelForSequenceClassification, AlbertTokenizer
 
@@ -30,7 +30,7 @@ with torch.no_grad():
     print("호재: {:.2f}% | 악재: {:.2f}% | 중립: {:.2f}%".format(output[0]*100,output[1]*100,output[2]*100)) 
 ```
 
-## Example Use Case: Crypto Embedding Similarity
+## Example Use Case: Crypto News Embedding Similarity
 ```python
 from transformers import AutoModelForSequenceClassification, AlbertTokenizer
 from scipy.spatial.distance import cdist