Before revision:  The end-user interpretability of the results is one of the essential positive points of the model. Originality/Value: The main contribution of the study included: 1) Using the Augmented approach for fine-tuning SBERT by in-domain supervised patent claims data. 2) Improving results based on a hybrid model for patent classification. The best result of F1-score at the subclass level was > 69\%) Proposing the practical model with high interpretability of results .
After revision:  The end-user interpretability of the subclass (640) level on 163,269 patents with an accuracy of 54\% and F1 score > 69\%) Proposing the practical model with high interpretability of results .