A Study on Reader Reception of English Translations of Great Learning Based on Python

Using Python data processing tool, this research collects and analyzes reader feedback of English translations of Great Learning from Amazon and Goodreads. The study establishes a database to discern recognition of the work's value, emotional attitudes, and focal dimensions. Through qualitative and quantitative methods, the translation quality, gains and losses, and representation of China's image are assessed. The study concludes that the English translations of Great Learning are in general well-received by its readers. The charm as well as appeal of Chinese culture and philosophy pique readers' curiosity and interest in understanding Chinese culture. Hopefully this paper can offer valuable insights towards future studies on the impact of foreign translations of Chinese classics.