Marketing Issue 7 (2025)

ANALYSIS OF STUDENT OPINIONS AND OPTIMIZATION OF MARKETING STRATEGY BASED ON BIG DATA TECHNOLOGIES IN THE PROCESS OF DIGITALIZATION OF HIGHER EDUCATION INSTITUTIONS

Akbarov Nodir Gafurovich

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Abstract

The study analyzes studentsʼ opinions during the digital transformation of higher education institutions using Big Data technologies. Data were collected from online platforms, social networks, and surveys. Sentiment analysis, topic modeling, and SWOT anal ysis were applied to identify key challenges and opportunities. The findings provide a basis for improving digital services, enhancing student satisfaction, and optimizing marketing strategies for universities.

digital transformationBig Datasentiment analysistopic modelingSWOT analysishigher educationцифровая трансформацияBig Dataанализ тональноститематическое моделирование

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Cite

APA 7 
Akbarov Nodir Gafurovich (2025). ANALYSIS OF STUDENT OPINIONS AND OPTIMIZATION OF MARKETING STRATEGY BASED ON BIG DATA TECHNOLOGIES IN THE PROCESS OF DIGITALIZATION OF HIGHER EDUCATION INSTITUTIONS. Marketing, (7).
GOST R 7.0.5 
Akbarov Nodir Gafurovich ANALYSIS OF STUDENT OPINIONS AND OPTIMIZATION OF MARKETING STRATEGY BASED ON BIG DATA TECHNOLOGIES IN THE PROCESS OF DIGITALIZATION OF HIGHER EDUCATION INSTITUTIONS // Marketing. 2025. № 7.
BibTeX 
@article{gafurovich2025,
  author  = {Akbarov Nodir Gafurovich},
  title   = {ANALYSIS OF STUDENT OPINIONS AND OPTIMIZATION OF MARKETING STRATEGY BASED ON BIG DATA TECHNOLOGIES IN THE PROCESS OF DIGITALIZATION OF HIGHER EDUCATION INSTITUTIONS},
  journal = {Marketing},
  year    = {2025},
  number  = {7}
}
RIS 
TY  - JOUR
AU  - Akbarov Nodir Gafurovich
TI  - ANALYSIS OF STUDENT OPINIONS AND OPTIMIZATION OF MARKETING STRATEGY BASED ON BIG DATA TECHNOLOGIES IN THE PROCESS OF DIGITALIZATION OF HIGHER EDUCATION INSTITUTIONS
JO  - Marketing
PY  - 2025
IS  - 7
ER  -