Analyzing  The Analects of Confucius:

Rui Shen, 10.31 2025

Introduction

For this project, I aimed to explore how digital tools can enhance our understanding of texts in classical Chinese in new ways. I chose The Analects of Confucius from the dataset provided. As someone from China, I am familiar with the text from experience in Chinese class in school. In this project, instead of methods like close reading and commentary I am used to, it is exciting to approach it through Voyant. I used it to visualize word frequencies and patterns. My goal was to identify the themes and concepts that appear most strongly once the text is translated into English, and to consider how digital methods can highlight what Confucius emphasized through repetition and association.

Source

I used the txt version of Analect from the course drive, originally based on a Project Gutenberg edition. Since public-domain Gutenberg texts often include formatting notes and metadata, I customized the stop word list. In addition to common English stop words, I removed Gutenberg-specific terms (such Gutenberg) and certain narrative marker words like said and chap. These words help us understand the structure of a text, but in this case they were overshadowing the thematic vocabulary I wanted to examine, especially words that reflect Confucian ideas, relationships, and values.

Processes

I mainly checked the word cloud, Links, and trends graph in Voyant. With these features, I could get an initial sense of the most frequent words. Words like master, man, virtue, people, and government appeared prominently. I also got to see how key terms are connected to others. The trends Graph, which shows how specific words vary across different sections of the text. This helped reveal where certain teachings or themes are emphasized more heavily. Voyant is a very powerful tool for text analysis since it has those modules that enable us to easily generate a visualization of the text. The function, like editing a stop word list, is convenient and frees us from writing code ourselves for analysis.

Presentation

I embedded the visualizations directly. The word cloud provides an immediate visual impression;

the link diagram shows conceptual relationships;

and the trend graph illustrates how themes rise and fall throughout the work.

Significance

Using Voyant to analyze this text offers us insights that are difficult to notice just from reading. For example, we can see that master and man appear very frequently, and they cluster with words like virtue, superior, and government. It aligns with what I learned from school about Confucianism and its core idea of the importance of moral character. Confucius’s teachings focus on how a person should cultivate oneself (virtue, superior man), how one should behave within social relationships (master, disciple, father, prince), and how morality shapes political order (government, people). The visualizations also emphasize that the nature of the text is a conversation rather than an isolated philosophical statement. The trends graph also suggests that different chapters highlight different key concepts. For example, some sections emphasize political philosophy, and others focus on individual virtues.

More broadly, this project shows what makes Digital Arts & Humanities distinct from general data science. The goal is not only to measure and count, but to interpret patterns in ways that remain connected to cultural meaning, translation choices, and historical context. With traditional methods of reading the text, it’s hard to have a concrete idea of the qualitative statistics, but with these data, we can interpret the text from new angles. Human insight to explain what the patterns suggest about Confucian philosophy and its enduring influence. The visualizations encourage us to ask why certain words and ideas appear together, what that suggests about Confucianism over and over, and how these ideas reflect the cultural context of early Chinese philosophical discourse.