Alek327/Data-extraction-pipeline: v1.0.3
Abstract
Stable offline release of a rule-based pipeline for semi-automated qualitative evidence extraction from research PDFs. Includes deterministic classification, explicit inclusion/exclusion logic, audit-ready CSV outputs, optional Markdown synthesis, and strict/lenient review modes. No APIs or external services required. cycle_extraction_pipeline_offline.py
Fields of Study & Subjects
Meta-analysis and systematic reviews
Computational and Text Analysis Methods
Advanced Text Analysis Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 14 January 2026