Automated Topic–Document Matching Pipeline for Systematic Literature Reviews
Abstract
This code operationalises a computational screening and classification stage of a systematic literature review (SLR). Specifically, it replaces manual thematic assignment with a reproducible, transparent, and auditable workflow. The code is an automated text-mining and topic-matching pipeline designed to support systematic literature reviews by algorithmically aligning full-text research articles with pre-defined LDA topics using semantic similarity and keyword validation.
Fields of Study & Subjects
Computational and Text Analysis Methods
Biomedical Text Mining and Ontologies
Topic Modeling
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 January 2026