On the Experience of Statistical Processing of Memes in Big Data Format

This paper presents the results of a study regarding “toxicity” of Internet communication, which has become one of the priority research areas for modern applied linguistics. In particular, the analysis performed demonstrated the capabilities of research tools that are relevant to the science of language and make it possible to significantly simplify the processing of linguistic material obtained from various network sources. Notably, the functionality of modern software products (implemented, in particular, through cloud technologies) allows for in-depth annotation (according to Potapova and Potapov (K opytu glubinnogo annotirovaniya polikodovykh Internet Big Data (primenitelno k Digital Humanities) [On the experience of in-depth annotation of polycode Internet Big Data (as applied to Digital Humanities)]. In: Soft Measurement and Computing. Nauchnaya biblioteka, Moscow, pp. 40–43, 2019 [9]) of linguistic databases collected for the specific needs.