Abstract: For the purpose of realizing the sentimental analysis of the user reviews of MOOC, this article proposes a method for the sentimental classification of user reviews based on the BERT and BiGRU model. The article uses the BERT model to extract the feature representation of the course review text, and the acquired words features are input to the BiGRU network to extract the emotional features of user reviews, finally the emotional tendency classification is performed by Softmax logistic regression. Experimental results show that the F1 value of the review sentiment orientation classification model based on BERT and BiGRU model reaches 92.45%, which improves the accuracy of user sentiment orientation analysis and is better than other mainstream orientation analysis models, proving the effectiveness of the method.

Key words: course reviews, text sentiment analysis, Chinese text classification, BERT-BiGRU