Art Journal Data and the Development of Chinese Modern Art History Based on Big Data Association Analysis

Authors

  • Qin Zhenhua

Abstract

Chinese modern fine arts periodicals are important documents for the study of art history. On the basis of following the traditional research methods of fine arts history, this paper draws on the research methods of publishing, communication and philology to show the development stage, status and role of Chinese modern art journals. This paper studies the development of art journal data and Chinese modern art history by using the method of big data association analysis, and reveals its open academic spirit and inclusive editing ideas. The results of this paper have a certain reference value for the research of modern art literature and modern professional art history.

Published

2020-12-01

Issue

Section

Articles