This research uses artificial intelligence to classify and annotate a large number of texts (more than 300,000). This method can be applied to legal documents, judgments or medical text materials, and has the potential of artificial intelligence legal research.
The paper reveals the research methods and steps. If you are interested, download it for free.
http://wenti.nccu.edu.tw/issue_detail.aspx?url_type=2&docData_id=5380

Xi Jinping’s activities have become the core focus of the CCP’s political landscape, and his ideology has emerged as a significant driving force in Chinese politics. This study aims to answer the question: “What are the characteristics of Xi Jinping’s ideological system and its chronological evolution?” particularly in relation to Maoism. The methodology of this research is rooted in “computational politics/computational Chinese studies,” utilizing computational methods to explore aspects that are difficult to uncover manually. Specifically, the study collects speech texts from the “Xi Jinping Series of Important Speeches Database” as analytical material. By employing programming techniques such as text mining, natural language processing (NLP), and deep learning algorithms, the study builds analytical models for extensive automated annotation.
This research achieves two primary goals: first, it automates the processing of large volumes of textual data and implements batch process analysis; second, it uses NLP to extract discourse features and attempts to model Xi Jinping’s ideological system. As a prototype experimental paper, it successfully implements large-scale data collection and computation, achieving “concept classification” of extensive corpora and utilizing deep learning models for annotation and new research. Specifically, the study examines the vocabulary usage and ideological changes over Xi Jinping’s ten-year period (2012-2021). The findings indicate that Xi Jinping’s ideology indeed shows a spiral upward trend towards Maoism, with a relatively stable reference to post-Maoism, but with an increasing tendency towards struggle following the “China-U.S. trade war.”