Description:
The research is made in the frame of methodology of emotional text analysis – the computer technology allowing to classify texts according to the criterion of the emotion expressed in them. The paper focuses on specificity of verbal means used in texts of eight emotional classes to deal with the category of time. The data we used consist in 3900 Internet-texts from social network VKontakte assessed by 2000 informants on a crowdsource platform. We processed the raw data using the elements of mathematical modelling, and, a set of tools offered by Sketch Engine corpus manager platform. The hypothesis is that while experiencing an emotion, an individual feels the time differently and, consequently, speaks about it not in the same way. We paid a particular attention to the weight of the lexemes those semantics is connected with the idea of time in different emotional text classes.