Sentiment Analysis and Fine-Grained Feature Mining of Hotel Reviews Based on BERT-BiLSTM
This paper proposes a hybrid neural network model combining BERT and BiLSTM, and verifies it on the hotel review data set, and provides a complete analysis framework from emotion classification to problem positioning for the hotel industry, which has important theoretical value and practical significance.