中国科学院心理健康重点实验室知识库

In this paper, computer engineering and JAVA language are used for numerical simulation. With the support of artificial intelligence model, the classification model with recognition accuracy greater than 90% and measurement error less than 5% is selected by combining the high-speed computing power of computer with classification algorithm. Through the visual analysis of academic procrastination research by CiteSpace, we can understand the current situation and development trend of academic procrastination research at home and abroad. JAVA software was used to analyze the number of publications, authors and keywords on academic procrastination in CNKI and Web of Science databases. In this paper, a good classification effect is obtained in the application of text statement classification.