Research on the Topic Evolution of Digital Economy Based on LDA

Abstract

The paper uses the Latent Dirichlet Allocation (LDA) topic model to study the change law of hot topics in the field of digital economy and show the research topic evolution in this field over the last 30 years. The data consists of 1823 papers from various journals from China National Knowledge Infrastructure (CNKI). The main results of LDA are as follows. First, we find five research topics to cover this research field. Second, among these topics, we find that two topics show an upward trend in intensity and another two show an downward trend in intensity, and high-quality development and governance of digital economy are new topics in recent years. It is hoped that the findings could help scholars to overview the field of digital economy and grasp the emerging evolution trends.