Update README.md

README.md

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 # 🛫 Big Bird Flight
-Big Bird Flight is a fine-tuned version of Google’s BigBird model, optimised for long-text sentiment analysis in the context of airline passenger experiences. It was trained on 2,598 flight review texts, each annotated with a 10-point ordinal sentiment rating ranging from 1 (extremely negative) to 10 (extremely positive).
+Big Bird Flight is a fine-tuned version of Google’s BigBird model, optimised for long-text sentiment analysis. It was trained on 2,598 flight review texts, each annotated with a 10-point ordinal sentiment rating ranging from 1 (extremely negative) to 10 (extremely positive).
 
 Big Bird Flight captures nuanced emotional gradients in text, offering richer sentiment analysis than conventional binary classification (e.g., positive vs. negative). This makes it particularly useful for applications requiring fine-grained sentiment understanding from lengthy or detailed customer feedback.
 - Use case: text classification
@@ -48,7 +48,7 @@ Big Bird Flight captures nuanced emotional gradients in text, offering richer se
 
 # 📚 Citation
 If you use this model in your research or applications, appreciate if you could cite as follow. 
-Mat Roni, S. (2025). Big Bird Flight: Fine-tuned BigBird for Ordinal Sentiment Analysis of Airline Reviews. Hugging Face. https://huggingface.co/pvaluedotone/bigbird-flight
+Mat Roni, S. (2025). Big Bird Flight for ordinal sentiment analysis. Hugging Face. https://huggingface.co/pvaluedotone/bigbird-flight
 
 ## Validation metrics
 The validation metrics reflects the inherent complexity in the fine granularity of the 10-point scale.