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

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

Çaushi, Blerta Abazi

Faculty of Business and Economics, South East European University TetovoNorth Macedonia

Tigno, Gladiola

Faculty of Engineering, Informatics and Architecture, European University of TiranaTirana, Albania

Sprache:: Englisch

Zeitrahmen der Veröffentlichung:: 2 Hefte pro Jahr
Fachgebiete der Zeitschrift:: Allgemein

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

Florenc Hidri

Blerta Abazi Çaushi

Gladiola Tigno

Online veröffentlicht: 30. Juni 2025

Seitenbereich: 16 - 30

DOI: https://doi.org/10.2478/seeur-2025-0011

SchlüsselwörterAgile Methodologies, Digital Transformation, Sentiment Analysis, Twitter Data, VADER Sentiment Tool, Topic Modeling, Latent Dirichlet Allocation (LDA), Public Opinion

© 2025 Florenc Hidri et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Agile Methodologies, Digital Transformation, Sentiment Analysis, Twitter Data, VADER Sentiment Tool, Topic Modeling, Latent Dirichlet Allocation (LDA), Public Opinion