TEXT MINING ВЪВ ВИРТУАЛНОТО ОБРАЗОВАТЕЛНО ПРОСТРАНСТВО
TEXT MINING IN VIRTUAL EDUCATIONAL SPACE
Author(s): Daniela Ananieva Orozova
Subject(s): Social Sciences, Education, Distance learning / e-learning
Published by: Бургаски свободен университет
Keywords: Text mining; Data Analytics; Virtual Education Space; E-learning.
Summary/Abstract: The main goal of the report is to show the impact of Data Analytics in the field of educational space. An approach for automatic analysis of documents used by students in the learning process is proposed. By extracting meaningful words, the analyzed documents are defined as related or unrelated to the subject area of study. The algorithm is based on domain ontologies and the creation of classifiers using the Naive Bayes, Random Forest and Logistic regression tools of the Orange Data Mining system. The processing of the obtained data will lead to the study of the basic behavioral patterns and trеnds that characterize successful learning.
Book: МЕЖДУНАРОДНА НАУЧНА КОНФЕРЕНЦИЯ "ДИГИТАЛНИ ТРАНСФОРМАЦИИ, МЕДИИ И ОБЩЕСТВЕНО ВКЛЮЧВАНЕ"
- Page Range: 351-357
- Page Count: 7
- Publication Year: 2020
- Language: Bulgarian
- Content File-PDF