Решение идентификационной задачи атрибуции текстов в сетевой коммуникации
The article deals with general and particular patterns of solving the identification problem of attributional linguistics on the texts of written network communication. The problem of determining text authorship is solved by comparing a disputed text, the author of which, according to the conditions of the experiment, is unknown, with texts, the authors of which are known. The problem is solved for several discursive areas: online literature, corporate e-mail, short comments on posts on the entertainment portal. These discursive spheres have correlates with several functional styles of speech, fiction, official and colloquial, which makes it possible to identify the trends in textual attribution within the material of Internet communication. For the analysis of speech material, a holistic approach, the tool of which is linguistic modelling, is used. The choice of parameters describing the author’s individual style is rooted to considering text to be a product of an authentic language personality. Language personality is described using psycholinguistic (Yu.N. Karaulov), sociolinguistic and forensic linguistic (S.M. Vul, M. Coulthard, R. W. Shuy) methods. With the help of specialized software "KhoRom", researchers create mathematical models of the individual styles of the compared texts authors. As output the resource displays Pearson correlation coefficient, linear regression and Student’s criterion for the models of the two idiolects represented in compared texts, as well as each parameter metrics values. The software is only a part of the attribution algorithm. The obtained mathematical statistics should be analyzed by experts with the usage of methodological recommendations developed for the algorithm. On the basis of these models and their study, a number of conclusions about statistical patterns of an authorship study in various discursive spheres of electronic communication are made.