Assessment of the University Digital Ecosystem through Intelligent Analysis of Open-Ended Survey Responses
Tlebaldinova A. Denissova N. Dyomina I. Chettykbayev R. Karmenova M. Györök G.
2025Budapest Tech Polytechnical Institution
Acta Polytechnica Hungarica
2025#22Issue 5205 - 224 pp.
The use of open-ended questions in surveys for conducting research in various fields of activity allows you to obtain detailed and in-depth information that can be used to make important decisions. However, automatic processing of open questions is a complex task that requires an integrated approach. This study proposes a methodology based on sentiment analysis, topic modeling, and text networks to extract useful data on satisfaction with the universitys digital ecosystem and the current situation. The methodology allows you to get a more complete picture of the level of satisfaction of students, lecturers and other participants in the universitys digital ecosystem, as well as identify problematic issues and offer specific recommendations for their improvement. The main contribution of the article is the use of algorithms for modeling topics and network structures to complement the results of the analysis of the tone of the text. The methodology includes Data Gathering, Text Processing, Text Mining and Recommendations. The proposed methodology is applicable not only to the educational field, but can also be replicated for automatic processing of unstructured data in other areas.
assessment of the digital ecosystem , data mining , network modeling , open-ended questions , terms , text mining , topic modeling
Text of the article Перейти на текст статьи
D. Serikbayev East Kazakhstan Technical University, Digital Technologies and Artificial Intelligence School, D. Serikbayev Str. 19, Ust-Kamenogorsk, 070004, Kazakhstan
Sarsen Amanzholov East Kazakhstan University, Higher school IT and Natural Sciences, 30th Guards Division Str. 34, Ust-Kamenogorsk, 070004, Kazakhstan
Óbuda University, Alba Regia Technical Faculty, Budai út 45, Székesfehérvár, H-8000, Hungary
D. Serikbayev East Kazakhstan Technical University
Sarsen Amanzholov East Kazakhstan University
Óbuda University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026