Analysis of Apologies in English Textbook Using Python: Contextualization and Interpretation

Abstract

This study employs Python crawlers and data analysis to conduct text mining and visualization on the apologies in English textbook. Through methods such as word distribution, frequencies, and interpretations, the results indicate that the distribution is uneven. The linguistic forms of apologetic expressions are basically “sorry, excuse me, oh, and oops” with pure “an expression of an apology”. The apologetic contexts are inclined to be homogeneous and simple within the settings of selling-buying and inviting. The contextualization, distribution and interpretation are interrelated. Furthermore, the contexts are not authentic enough to facilitate the more complicated expressions of apologies. This study has implications for research on pragmatic knowledge in primary school textbook analysis, adaptation, and development.