運用R語言編寫文字探勘技術，進行巨量文獻之系統性回顧研究，期望掌握某個研究議題的發展軌跡，與重要文獻的知識圖譜，對未來教育的回顧性研究是亟待發展的面向與借鏡的途徑。本研究透過R語言理念分析，了解文字探勘的意義，並以R語言編寫文字探勘語法之作法，進行繪圖可視化的功能，找出資料中有價值的特徵以及關聯性，並舉例說明運用文字探勘技術，進行巨量學術網絡資料的統整與分析，讓文本資訊得以聚焦與延伸，再經由抽象化的理論解讀其意義，進而引發反思，找出資料中有價值的特徵以及關聯性。最後提出研究結果之結論與建議。

Using R language to write text mining technology, conduct systematic review and research of huge amount of literature, hope to grasp the development track of a certain research topic, and the knowledge map of important literature, retrospective research on future education is an urgent need for development and borrowing way. Through R language concept analysis, this research understands the meaning of text mining, and writes the grammar of text mining in R language, performs the function of drawing visualization, finds valuable features and correlations in the data, and illustrates the use of text mining technology with examples. , to integrate and analyze a large amount of academic network data, so that the text information can be focused and extended, and then interpret its meaning through abstract theories, thereby triggering reflection and finding valuable characteristics and correlations in the data. Finally, the conclusions and recommendations of the research results are presented.