Natural Language Processing and Innovation Research
概述了自然语言处理在实证创新研究中的当前应用，展示了其改变创新量化方式的潜力，并讨论了使用这些方法的关键挑战。
Innovation is central to models in economics, strategy, management, and finance, yet it remains difficult to measure due to its intangible and knowledge-based nature. Recent advancements in natural language processing offer new methods to analyze textual artifacts, providing empirical insights into previously hard-to-measure aspects of innovation. This article provides an overview of the current applications of these methods in empirical innovation research, highlights their transformative potential for reshaping how researchers study and quantify innovation, and discusses the critical challenges that accompany their use.