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This book introduces the basic knowledge of statistics required to carry out stylistic measurement research in a simple and detailed manner, and uses statistical methods and computer text mining technology (text clustering and classification technology) based on modern statistical theory to carry out research in the following aspects: extraction of stylistic features of ancient and modern Chinese literary works, author identification methods, stylistic analysis of specific works, variations in writers' language use, and the use of software tools related to computer stylistic measurement. This paper uses quantitative methods to study some stylistic issues that have always received widespread attention from society. The language is easy to understand, and the mathematics and computer knowledge involved are described in simple ways. Readers with a high school level of knowledge can read and understand it. The theories and methods of quantitative stylistics are powerful weapons for accurately examining the stylistic style of works and identifying the authors of works. They can provide scientific identification clues for judicial work, provide more scientific means for the collation and research of Chinese classical documents, and further scientificize the study of Chinese traditional culture. The study of metrological stylistics has a long history abroad and has accumulated fruitful scientific research results. But generally speaking, there is still a big gap compared with the research in this area in Europe, America, and Japan, and it is in a backward situation. This book attempts to draw lessons from relevant Japanese technologies and research methods, hoping to serve as a starting point.