Designing an Educational Intelligent System with Natural Language Processing Based on Fuzzy Logic
Konstantin A. Kulagin, Mansur Salikhov, Rustam A. Burnashev
Abstract
This paper presents the implementation of an educational intelligent system with natural language processing based on fuzzy logic and spatial data visualization using geographic information technology. With our development we contribute to the development of modern information technologies in the educational process, namely intelligent linguistic resources with subsequent visualization and processing of spatial data. For the development of the web interface of the shell and the server part we used the Django framework of the Python programming language. Pandas and Folium libraries were used for data processing and visualization. To implement the fuzzy logic module the Levenshtein distance algorithm was used.