Application of deep learning in sentiment analysis of online car reviews

This article aims to use deep learning technology to perform sentiment analysis on car reviews. First, a large-scale car review dataset is constructed and analyzed in detail. Then, an emotion classification model based on BiLSTM and CNN was designed , and the model was trained and experimentally verified. Experimental results show that our model can effectively perform sentiment analysis on car reviews with high accuracy and robustness. The research in this article provides a useful reference for sentiment analysis in the automotive industry.