Development of an application for analyzing comments on English- language YouTube

This article introduces the development of an innovative application aimed at analyzing comments on English-language YouTube videos to identify and systematize the most frequently used English abbreviations. This application not only facilitates the process of learning English, but also provides a deep understanding of the use of abbreviations in the context of real dialogues, contributing to a more effective use of them in everyday communication. It provides a native speaker’s perspective on the English language. Details the features of developing an application, such as using the YouTube Data API, analyzing comment text using regular expressions and saving data for further study. This paper focuses on the challenges of working with the API (Application Programming Interface), text processing techniques and shows the possibilities of exploring English in an online environment.