Organization of Emotional Reactions Monitoring of Social Networks Users by Means of Automatic Text Analysis

This article is devoted to problems of a theoretical and methodological nature arising in the organization of monitoring of emotional reactions of social networks users by through automatic text analysis. The difficulties that accompany the monitoring activity at the level of motivation, goal-setting, and the choice of a method for determining markers of emotionality are analyzed. The problems of determining the sampling criteria for the study of emotional reactions of users within communities and large groups, taking into account textual and nontextual parameters are considered. Difficulties in interpreting the data of a set of psycholinguistic features based on machine learning and questions about the applicability of the classifier built on the training corpus to texts from different fields are outlined.