Discovering research expertise at institutions can be a difficult task. Manually curated university directories easily become out of date and they often lack the information necessary for understanding a researcher's interests and past work, making it harder to explore the diversity of research at an institution and identify research talents. This results in lost opportunities for both internal and external entities to discover new connections and nurture research collaboration. To solve this problem, we have developed PeopleMap, the first interactive, open-source, web-based tool that visually "maps out" researchers based on their research interests and publications by leveraging embeddings generated by natural language processing (NLP) techniques. PeopleMap provides a new engaging way for institutions to summarize their research talents and for people to discover new connections. The platform is developed with ease-of-use and sustainability in mind. Using only researchers' Google Scholar profiles as input, PeopleMap can be readily adopted by any institution using its publicly-accessible repository and detailed documentation.

中文翻译：

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PeopleMap：使用自然语言处理绘制研究人员的可视化工具

在机构中发现研究专长可能是一项艰巨的任务。人工策划的大学名录很容易过时，而且往往缺乏了解研究人员兴趣和过去工作所需的信息，这使得探索机构研究的多样性和识别研究人才变得更加困难。这导致内部和外部实体失去发现新联系和培养研究合作的机会。为了解决这个问题，我们开发了 PeopleMap，这是第一个交互式、开源、基于 Web 的工具，它通过利用自然语言处理 (NLP) 技术生成的嵌入，根据研究人员的研究兴趣和出版物在视觉上“绘制”出研究人员的地图。PeopleMap 为机构总结其研究才能和人们发现新的联系提供了一种新的参与方式。该平台的开发考虑到了易用性和可持续性。仅使用研究人员的 Google Scholar 个人资料作为输入，任何机构都可以使用其可公开访问的存储库和详细文档轻松采用 PeopleMap。