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

TL;DR

This paper presents a data-driven text mining approach to develop and validate a specialized lexicon for organic residue valorization in agriculture, aiding low and middle-income countries.

Contribution

It introduces a novel methodology for creating a specialized lexicon through corpus analysis and term annotation tailored for organic residue valorization.

Findings

A specialized lexicon was successfully created and validated.

The approach effectively identified relevant biological transformation terms.

The lexicon supports agricultural residue valorization efforts in developing countries.

Abstract

The text mining method presented in this paper was used for annotation of terms related to biological transformation and valorization of organic residues in agriculture in low and middle-income country. Specialized lexicon was obtained through different steps: corpus and extraction of terms, annotation of extracted terms, selection of relevant terms.