Update README.md

README.md

@@ -11,7 +11,7 @@ It was developed by fine tuning [FinBERT: Financial Sentiment Analysis with Pre-
 
 Performing sentiment analysis on the news regarding a specific asset requires domain adaptation. 
 Domain adaptation requires training data made up of examples with text and its associated polarity of sentiment. 
-The experiments show that pre-trained deep learning-based sentiment analysis can be further fine-tuned, and the conclusions of these experiments are as following: 
+The experiments show that pre-trained deep learning-based sentiment analysis can be further fine-tuned, and the conclusions of these experiments are as follows: 
 
 * Deep learning-based sentiment analysis models from the general financial world such as FinBERT are of little or hardly any significance concerning the price development of crude oil. The reason behind this is a lack of domain adaptation of the sentiment. Moreover, the polarity of sentiment cannot be generalized and is highly dependent on the properties of its target.