With rich accumulation of "China Studies" (CS) in Taiwan academia for many years and the concern for "Principle Development" recently, to “re-research CS" has gradually emerged. This article attempts to review Taiwan's "CS" using digital methods, including text mining (TM) and machine learning (ML) techniques. This study collected 1,367 papers published on the journal in Taiwan, from 1996 to 2019. Then we structured them, and established the "CS" database. This can successfully export the information of the author, the journal organization, and etc. for analysis. At the same time, this website attempts to cluster the topic form the "CS" database, which are: "Taiwanese business management, economic system related, state-politics-social theory, internal and financial related, communication and norms related, politics-ideology, international and cross-strait relations." This project also discusses these main CS topics, provides the keywords in each topic, and describes the trends over the years. The reaserch reached two goals: firstly, as a fundamental research, it, has tried to build the "CS" database. And secondly, as an applied research, it could locate and analyze into a specific the subgroup.誌謝：本資料庫由科技部計畫「從知識系譜到知識地圖—大數據與機器學習下的中國研究」。
“From Knowledge Genealogy to Knowledge Map-China Studies in Big Data and Machine Learning”
107-2410-H-003 -058 -MY3, Ministry of Science and Technol-ogy, the MOST, Taiwan.