A lexicon obtained and validated by a data-driven approach for organic residues valorization in emerging and developing countries

This work addresses the need for domain-specific terminology in organic residue valorization for emerging and developing countries, but it appears incremental as it applies an existing text mining method to a new dataset.

The paper tackled the problem of annotating terms related to biological transformation and valorization of organic residues in agriculture for low- and middle-income countries, using a text mining method to obtain a specialized lexicon through steps like corpus extraction, annotation, and selection.