Research on Classification Method of Construction Laws and Regulations Data

After experiencing rapid growth, the construction industry has entered a stable state. In this process, potential issues have emerged. As laws and regulations continue to be revised and improved, the classification of construction laws and regulations is crucial for societal development, managers’ decision-making, practitioners’ behavioral norms, and the rights and responsibilities of users. In the era of AI, effectively managing these data to serve all parties has become one of the hot topics of current research, with classification issues emerging as a core and critical technology. Based on this, this paper proposes an improved classification method that combines the advantages of BERT and TextCNN. BERT provides more accurate text representations for TextCNN, which then extracts global and local information from the text based on BERT’s precision, enabling effective data classification. Experimental results show that this method has a good classification effect on construction laws and regulations data.