ВИЗУАЛИЗАЦИЯ ДАННЫХ В ЭМОЦИОНАЛЬНОМ АНАЛИЗЕ РУССКОЯЗЫЧНЫХ ИНТЕРНЕТ-ТЕКСТОВ НА ОСНОВЕ МОДЕЛИ "КУБ ЛЁВХЕЙМА"
In the paper, we discuss the problem of tools supposed to be effective for visualization of data achieved as result of running algorithms for emotional text analysis. We start by overviewing some technics used to visualize data in projects devoted to exploratory data analysis, sentiment-analysis and emotional text analysis. To continue, we suggest two variants of visualization for emotional representation in texts analyzed within the framework of the theoretical approach known as “Levheim's Cube”, in which emotion is represented as a combination of three neurotransmitters. Such a model makes it possible to operate with spatial coordinates for visualization, but, at the same time, it inevitably imposes a number of restrictions and difficulties.