Text mining and network analytics for literature reviews: Exploring the landscape of purchasing and supply management research
本文探讨了利用自然语言处理进行文本相似度和网络分析在采购与供应管理文献综述中的用途，通过示例展示半自动化方法如何补充传统人工综述，并讨论研究者的角色与未来机会。
In this paper, we state and debate the use and usefulness of text similarity and network analytics using natural language processing for our field. While previous reviews of Purchasing and Supply Management have relied on manual coding and classification, the large scale and variety of the field calls for new approaches. In this Notes and Debates article, we therefore review different approaches from bibliometric and scientometric studies to explore literature using (semi)automated approaches. We exemplify one approach, leveraging text similarity and network visualization, to complement earlier analysis. Along the way, we discuss the researcher’s role at critical vantage points in reviews that are augmented by natural language processing. We compare and contrast the results of this exploration to previous manual reviews and sketch opportunities and provide recommendations for future use.