Added Acknowledgements in README.md

README.md

@@ -166,4 +166,22 @@ label_map = {0: "neutral", 1: "negative", 2: "positive"}
 print(f"Text : {text}")
 print(f"Sentiment: {label_map[predicted_class]}")
 
-```
+```
+---
+## Acknowledgements
+
+We gratefully acknowledge the creators and maintainers of the resources used in this project:
+
+- **[ProsusAI/FinBERT](https://huggingface.co/ProsusAI/finbert)** – A pre-trained BERT model specifically designed for financial sentiment analysis, which served as the foundation for our fine-tuning efforts.
+  
+- **[FinGPT Sentiment Train Dataset](https://huggingface.co/datasets/FinGPT/fingpt-sentiment-train)** – The dataset used for fine-tuning, containing a large collection of finance-related news headlines and sentiment annotations.
+
+- **[Financial PhraseBank Dataset](https://www.researchgate.net/publication/251231364_FinancialPhraseBank-v10)** – A widely used benchmark dataset for financial sentiment classification, including the *All Agree* and *All Combined* subsets.
+  
+- **[FiQA + PhraseBank Kaggle Merged Dataset](https://www.kaggle.com/datasets/sbhatti/financial-sentiment-analysis/data)** – A merged dataset combining FiQA and Financial PhraseBank entries, used for broader benchmarking of sentiment performance.
+
+
+We thank these contributors for making their models and datasets publicly available, enabling high-quality research and development in financial NLP.
+
+
+---