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Exploring Public Sentiment Towards Agile and Digital Transformation: A Refined Methodological Approach Through Twitter Sentiment Analysis and Topic Modeling Cover

Exploring Public Sentiment Towards Agile and Digital Transformation: A Refined Methodological Approach Through Twitter Sentiment Analysis and Topic Modeling

SEEU Review
Volume 20 (2025): Issue 1 (June 2025)
By: Florenc Hidri,  Blerta Abazi Çaushi and  Gladiola Tigno  
Open Access
|Jun 2025

Authors

Florenc Hidri

fh31409@seeu.edu.mk

Faculty of Contemporary Sciences and Technologies, South East European University Tetovo, Faculty of Software Engineering, Canadian Institute of Technology Tirana

Blerta Abazi Çaushi

b.abazi@seeu.edu.mk

Faculty of Business and Economics, South East European University Tetovo, North Macedonia

Gladiola Tigno

Gladiola.tigno@uet.edu.al

Faculty of Engineering, Informatics and Architecture, European University of Tirana, Tirana, Albania
DOI: https://doi.org/10.2478/seeur-2025-0011 | Journal eISSN: 1857-8462
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Language: English
Page range: 16 - 30
Published on: Jun 30, 2025
Published by: South East European University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Agile Methodologies,
Digital Transformation,
Sentiment Analysis,
Twitter Data,
VADER Sentiment Tool,
Topic Modeling,
Latent Dirichlet Allocation (LDA),
Public Opinion
Related subjects:
General interest

© 2025 Florenc Hidri, Blerta Abazi Çaushi, Gladiola Tigno, published by South East European University
This work is licensed under the Creative Commons Attribution 4.0 License.

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