The peripheral cluster of the lexical complex as a reflection of the current socio-cultural context (on the material of internet communication)

The article presents the results of a study of the peripheral cluster “wrong liberal” of the lexical complex “liberal”, the constituents of which refer to the vocabularyof enmityaccording to the pragmatic components of their meaning. On the material of a specific study, the capabilities of the information system “Semograph” and the Eureka Engine module of the Brand Analytics system are demonstrated. “Semograph” provides support for all research cycles, from data collection to statistical analysis, modeling and data export; offers the possibility of implementing group projects thanks to the multi-user mode; allows, thanks to data import, to analyze large arrays of contexts, to determine independently, based on research tasks, the structure and composition of fields and metafields attributed to selected context components and subsequently carry out a meta-analysis by the specified parameters. The Eureka Engine module in the Brand Analytics system is for automatic assessment of the tone of the text, which allows you to determine the average sentiment of the text, the object sentiment, the sentiment of the attributes, the ratio of positive and negative sentiment. The cognitive potential of the sociocultural theoryof lexical complexes is demonstrated in the analysis of neolexemes. The relationship between changes in socio-cultural reality and the transformation of the lexical complex, the expansion of its periphery is illustrated. The socio-cultural context of the appearance of the cluster of the lexical complex under study, the level of updated conceptual content (basic constructions, basic scheme, contexts of use, functional-semantic specificity of constituents) and the level of interpretations are described. The functioning of the constituents of the peripheral cluster of the lexical complex is carried out on the basis of Internet communication, the specifics of the use of cluster units by Internet users are revealed.