Update README.md

README.md

@@ -9,7 +9,7 @@ We employed a fine-tuning approach to adapt "cardiffnlp/twitter-roberta-base-sen
 In comparison to similar existing models, such as "climatebert/distilroberta-base-climate-sentiment" and "XerOpred/twitter-climate-sentiment-model," which typically achieve accuracies ranging from 10% to 30% and F1 scores around 15%, our model demonstrates exceptional performance. When evaluated using the test dataset from "climatebert/climate_sentiment," it achieves an accuracy of 89% and an F1 score of 89%.
 
 **Note** that you should paste or type a text concerning the **climate change** in the API input bar or using the testing code. 
-Otherwise, the model does not work so well. e,.g, an example input, "Major oil companies have misled Americans for decades about the threat of human-caused climate change, according to a new report released Tuesday by Democrats in Congress. 
+Otherwise, the model does not work so well. e,.g, An example input could be, "Major oil companies have misled Americans for decades about the threat of human-caused climate change, according to a new report released Tuesday by Democrats in Congress. 
 The 65-page report was the result of a three-year investigation and was made public hours before a Senate Budget Committee hearing about the role that oil and gas companies have played in global warming.
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