Automated Industry Classification of Chinese Enterprises Based on Business Scope Texts Using Deep Learning Methods

The rapid development of China’s economy has led to a significant increase in the number of enterprises. Industry classification of enterprises based on their business scope text can help analyse industry development and enable efficient management of enterprise information. In this paper, we employ deep learning methods to classify Chinese enterprises by industry using business scope texts. To automate the classification process, we first pre-process business scope texts data based on their characteristics. We then construct several deep learning models including TextCNN, TextRCNN, TextRNN_Att and fastText to classify Chinese enterprises based on their business scope texts. The TextCNN model achieved the best text classification performance with an accuracy of 95.67%. Our experimental results demonstrate that the proposed approach is effective in classifying Chinese enterprises by industry based on their business scope texts.