Grandia and Kruyen (2020) analyzed over 140,000 procurement notices to study trends in 'sustainable public procurement' using manual keyword matching without extracting structured information.
The heterogeneous nature of procurement documents complicates the text mining and NLP processes, as relevant information is often buried in various formats like PDFs and Excel files.
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