Update README.md

README.md

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 - sentiment-analysis
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-Modern-FinBERT-large is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the ModernBERT language model in the finance domain, using a large financial corpus and thereby fine-tuning it for financial sentiment classification. [Financial PhraseBank](https://www.researchgate.net/publication/251231107_Good_Debt_or_Bad_Debt_Detecting_Semantic_Orientations_in_Economic_Texts) by Malo et al. (2014) is used for fine-tuning. For more details, please see the paper [FinBERT: Financial Sentiment Analysis with Pre-trained Language Models](https://arxiv.org/abs/1908.10063) and our related [blog post](https://medium.com/prosus-ai-tech-blog/finbert-financial-sentiment-analysis-with-bert-b277a3607101) on Medium.
+# Modern-FinBERT-large: Financial Sentiment Analysis  
 
-The model will give softmax outputs for three labels: positive, negative or neutral.
+**Modern-FinBERT-large** is a state-of-the-art NLP model designed for **financial sentiment analysis**. It extends the **ModernBERT** language model by further training it on a vast financial corpus, ensuring domain-specific accuracy. This additional training fine-tunes the model for **sentiment classification** in financial texts.  
+
+For fine-tuning, the model leverages the **[Financial PhraseBank](https://www.researchgate.net/publication/251231107_Good_Debt_or_Bad_Debt_Detecting_Semantic_Orientations_in_Economic_Texts)** by Malo et al. (2014), a widely used benchmark dataset in financial NLP.  
+
+To learn more, refer to the research paper **[FinBERT: Financial Sentiment Analysis with Pre-trained Language Models](https://arxiv.org/abs/1908.10063)** and our in-depth **[blog post](https://medium.com/prosus-ai-tech-blog/finbert-financial-sentiment-analysis-with-bert-b277a3607101)** on Medium.  
+
+### Sentiment Labels  
+The model outputs a **softmax distribution** across three sentiment labels:  
+
+- ✅ **Positive**  
+- ❌ **Negative**  
+- ⚖ **Neutral**