#4121 Hazard Report Named Entities
#4121 Hazard Report Named Entities #4121 I have a directory of hazard reports in PDF format for which I want to create lists of named entities for each hazard report. A second pass would cross-check the hazard lists for commonality. That sounds like a classic Information Extraction (IE) pipeline. Dealing with PDFs adds a layer of "fun" (read: formatting headaches), but once you have the text cleaned up, the entity extraction and cross-referencing are very manageable. Here is a streamlined approach to building this workflow. Phase 1: Text Extraction & Normalization PDFs are notorious for messy layouts. For hazard reports, which often contain tables or diagrams, you need a robust parser. Tools: Use PyMuPDF (fitz) for speed or unstructured for high-quality layout detection. The Goal: Convert each PDF into a clean string or a structured JSON object. Phase 2: Named Entity Recognition (NER) You’ll want to extract specific categories like Chemicals , Equipment , Locations ...