数据创新促进国际发展：定性数据分析的自然语言处理概述
Data Innovation for International Development: An overview of natural language processing for qualitative data analysis
摘要：
定量数据的可得性、收集和获取及其局限性，往往使定性数据成为发展方案严重依赖的资源。传统的访谈数据和社交媒体分析都可以提供丰富的背景信息，对于研究、评估、监测和评价至关重要。这些数据可能难以系统地和大规模地处理和分析。这反过来又限制了及时的数据驱动决策的能力，而这在快速发展的复杂社会系统中至关重要。在本文中，我们讨论了使用自然语言处理系统化定性数据分析的潜力，并在开发环境中为快速决策提供信息。我们说明了这一点与采访数据产生的微观叙述的格式为开发计划署的影响片段项目。
英文摘要：
Availability, collection and access to quantitative data, as well as its limitations, often make qualitative data the resource upon which development programs heavily rely. Both traditional interview data and social media analysis can provide rich contextual information and are essential for research, appraisal, monitoring and evaluation. These data may be difficult to process and analyze both systematically and at scale. This, in turn, limits the ability of timely data driven decision-making which is essential in fast evolving complex social systems. In this paper, we discuss the potential of using natural language processing to systematize analysis of qualitative data, and to inform quick decision-making in the development context. We illustrate this with interview data generated in a format of micro-narratives for the UNDP Fragments of Impact project.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
