The paper discusses the communicative practices of educational channels in Telegram. The semantic and pragmatic functions of the communicative practices of popular channels, as well as their functions realized through the properties of digital media, are determined. The study of educational Telegram channels will reveal some effective methods of didactic design and educational communication in digital media. The work uses methods of automated content collection and text analytics. The algorithms LDA (Latent Dirichlet Allocation) and TF-IDF (Term Frequency-Inverse Document Frequency) were applied in order to analyze the subject of texts in detail. The LDA method made it possible to identify hidden thematic structures, while the TF-IDF method provided a quantitative assessment of the significance of terms in the context of specific documents. The results obtained demonstrate the high efficiency of the combined application of these methods in the analysis of large text corpora.