Keyword: «sentiment»

The article conducted a study of the social network Twitter as a source of important information for public health. Potentially tonal words of socio-psychological topics from Russian-language messages on Twitter are identified and described. The semantic analysis of the text was carried out using the Advego program. Particular attention is paid to the overall assessment of the emotionality of the content, to identify which the authors propose to introduce an index of conceptual significance. The authors concluded that it is possible to capture user sentiment in near real time, which can be an important aid to government, private organizations, and the public with information during pandemics.