Features of Big Text Data Visualization for Managerial Decision Making

Abstract

This paper describes text data analysis in the course of managerial decision making. The process of collecting textual data for further analysis as well as the use of visualization in human control over the correctness of data collection is considered in depth. An algorithm modification for creating an "n-gram cloud" visualization is proposed, which can help to make visualization accessible to people with visual impairments. Also, a method of visualization of n-gram vector representation models (word embedding) is proposed. On the basis of the conducted research, a part of a software package was implemented, which is responsible for creating interactive visualizations in a browser and interoperating with them.

Using Visual Modelsfor Exploratory Analysis of Semi-structured Text Data

“…Использование этих данных в модели ИАД требует больших трудозатрат на их сбор и обработку [2]. Кроме того, не все текстовые данные могут быть однозначно интерпретированы и обработаны без привлечения эксперта в предметной области [3], что увеличивает затраты ещё на этапе обработки и разметки данных.…”