This paper presents the development of a lexicon centered on emerging
concepts, focusing on non-technological innovation. It introduces a four-step
methodology that combines human expertise, statistical analysis, and machine
learning techniques to establish a model that can be generalized across
multiple domains. This process includes the creation of a thematic corpus, the
development of a Gold Standard Lexicon, annotation and preparation of a
training corpus, and finally, the implementation of learning models to identify
new terms. The results demonstrate the robustness and relevance of our
approach, highlighting its adaptability to various contexts and its
contribution to lexical research. The developed methodology promises
applicability in conceptual fields.

该论文介绍了基于新兴概念的词典的开发，聚焦于非技术创新。它引入了一种结合了人类专业知识、统计分析和机器学习技术的四步方法，建立了一个可以普遍适用于多个领域的模型。该方法证明了其稳健性和相关性，突出了其对各种环境的适应性和对词汇研究的贡献。所开发的方法有望在概念领域中得到应用。