Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject topic modelling
Showing results 1 to 6 of 6
| Issue Date | Title | Author(s) |
| 20-Apr-2026 | Bridging the Divide: An Interdisciplinary Systematic Literature Review on the Evolution of Artificial Intelligence in Management and Technology Literature | Li, X; Batsakis, G; Robotis, A; Braganza, A; Cui, Z |
| 17-Dec-2022 | A Data-driven Latent Semantic Analysis for Automatic Text Summarization using LDA Topic Modelling | Onah, DFO; Pang, ELL; El-Haj, M |
| 17-Oct-2025 | A machine learning approach to vulnerability detection combining software metrics and topic modelling: Evidence from smart contracts | Ibba, G; Neykova, R; Ortu, M; Tonelli, R; Counsell, S; Destefanis, G |
| 26-Jan-2021 | Mining service quality feedback from social media: A computational analytics method | Lee, HJ; Lee, M; Lee, H; Cruz, RA |
| 12-May-2026 | Ontology-based Keyword Enriched Topic Modelling for Biomedical Research Trends: A Business Intelligence Perspective | Altarawneh, A; Tucker, A; Swift, S; Arzoky, M |
| 12-May-2026 | Ontology-Enriched Abstract Topic Modelling for Biomedical Trend Discovery: A MeSH-based LDA Framework with BI Visual Analytics | Altarawneh, A; Swift, S; Tucker, A; Arzoky, M |