Asset-Level Location Extraction from Corporate Sustainability PDF Reports
Sommer, Felicitas; Dimmelmeier, Andreas; Elhefnawy, Ahmed; Christiaen, Christophe; Kormanyos, Emily; Metzger, Marcel;
Asset-Level Location Extraction from Corporate Sustainability PDF Reports
This repository contains a Python script (reports_NER_for_pdf.py) that extracts location entities from PDF files and classifies them into asset-related locations and other locations. The script uses spaCy NER, dependency parsing, optional fuzzy matching with RapidFuzz, and optional BERT-based sentence classification (not yet implemented). All runtime settings are read from a configuration file (cfg.yml).
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average