A lexicon obtained and validated by a data-driven approach for organic residues valorization in emerging and developing countries
Information Retrieval
2024-06-04 v1 Computation and Language
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.
Cite
@article{arxiv.2406.00682,
title = {A lexicon obtained and validated by a data-driven approach for organic residues valorization in emerging and developing countries},
author = {Christiane Rakotomalala and Jean-Marie Paillat and Frédéric Feder and Angel Avadí and Laurent Thuriès and Marie-Liesse Vermeire and Jean-Michel Médoc and Tom Wassenaar and Caroline Hottelart and Lilou Kieffer and Elisa Ndjie and Mathieu Picart and Jorel Tchamgoue and Alvin Tulle and Laurine Valade and Annie Boyer and Marie-Christine Duchamp and Mathieu Roche},
journal= {arXiv preprint arXiv:2406.00682},
year = {2024}
}
Comments
5 pages, 2 tables