TEXT MINING ВЪВ ВИРТУАЛНОТО ОБРАЗОВАТЕЛНО ПРОСТРАНСТВО
| dc.contributor.author | Орозова, Даниела | |
| dc.date.accessioned | 2025-04-22T06:27:30Z | |
| dc.date.issued | 2020 | |
| dc.description.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. | |
| dc.identifier.isbn | 978-619-7126-92-1 | |
| dc.identifier.uri | http://research.bfu.bg:4000/handle/123456789/2147 | |
| dc.language.iso | bg | |
| dc.publisher | Бургаски Свободен Университет | |
| dc.relation.ispartofseries | 2020; с. 351-357 | |
| dc.subject | Text mining | |
| dc.subject | Data Analytics | |
| dc.subject | Virtual Education Space | |
| dc.subject | E-learning | |
| dc.title | TEXT MINING ВЪВ ВИРТУАЛНОТО ОБРАЗОВАТЕЛНО ПРОСТРАНСТВО | |
| dc.title.alternative | TEXT MINING IN VIRTUAL EDUCATIONAL SPACE | |
| dc.type | Article |