A lexicon obtained and validated by a data-driven approach for organic residues valorization in emerging and developing countries
作者:Christiane Rakotomalala, Jean‐Marie Paillat, Frédéric Feder, Ángel Avadí, Laurent Thuriès, Marie-Liesse Vermeire, Jean‐Michel Médoc, Tom Wassenaar, Caroline Hottelart, Lilou Kieffer, Elisa Ndjie, Mathieu Picart, Jorel Tchamgoue, Alvin Tulle, Laurine Valade, Annie Boyer, Marie-Christine Duchamp, Mathieu Roche · 发表于:Frontiers in Artificial Intelligence · 年份:2025 · DOI:10.3389/frai.2025.1557137 · 被引用次数:2 · 研究领域:Food Waste Reduction and Sustainability、Municipal Solid Waste Management、Recycling and Waste Management Techniques
Open dump remains the main management process of organic residue in middle-and low-income countries [1]. Indeed, according to this study, municipal solid waste is composed of 44% organic fraction. However, waste recycling or valorization is about 7, 4.7, and 21% in Sub-Saharan Africa, Caribbean/Latin America, and South Asia respectively. It is thus interesting to determine organic residue valorization status in those regions. Answer to that question could be prospected through textual analysis. The method herein represents the first step to that end. Indeed, when missing, text mining could be used to extract thematic lexicon from a bibliographic corpus to drive a state-of-art in the valorization of organic residues in agriculture in developing countries. In this work, text mining and Natural Language Processing (NLP) methods enable to generate a specialized lexicon on this specific area. The definition of relevance of terms is challenging and discussed in this data paper. Actually, terminology extraction methods are generally based on benchmarks (i.e. gold-standard) or terms manually validated [2] but an experimental protocol that takes into account different kinds of relevance to consolidate the process is understudied. This needs to integrate expertise knowledge, agreement of experts regarding definitions and evaluation associated with, and the task to do. This paper highlights how this construction is conducted by considering different point-of-view of relevance in a multi...