Articles | Volume 9, issue 1
Original research article
14 Mar 2023
Original research article |  | 14 Mar 2023

Potential of natural language processing for metadata extraction from environmental scientific publications

Guillaume Blanchy, Lukas Albrecht, John Koestel, and Sarah Garré

Model code and software

NLP jupyter notebooks Guillaume Blanchy

Short summary
Adapting agricultural practices to future climatic conditions requires us to synthesize the effects of management practices on soil properties with respect to local soil and climate. We showcase different automated text-processing methods to identify topics, extract metadata for building a database and summarize findings from publication abstracts. While human intervention remains essential, these methods show great potential to support evidence synthesis from large numbers of publications.