论文标题
OSDG-通过联合国可持续发展目标（SDGS）对文本数据进行分类的开源方法
OSDG -- Open-Source Approach to Classify Text Data by UN Sustainable Development Goals (SDGs)
论文作者
论文摘要
可持续发展目标（SDGS）汇集了多样化的发展社区，并为2030年提供了一系列明确的发展目标。鉴于与这些目标相关的大量参与者和计划，有必要有一种方法可以准确，可靠地将文本分配给不同的输入：科学研究，研究项目，研究项目，技术输出，技术或文档为特定的SDGS。在本文中，我们介绍了开源SDG（OSDG）项目和工具，该项目通过将现有研究和先前的分类整合到一个强大而连贯的框架中来实现。该集成基于将各种方法的功能链接起来，例如本体学项目，关键字或从机器学习模型到Microsoft Academic图中的主题。
Sustainable Development Goals (SDGs) bring together the diverse development community and provide a clear set of development targets for 2030. Given a large number of actors and initiatives related to these goals, there is a need to have a way to accurately and reliably assign text to different input: scientific research, research projects, technological output or documents to specific SDGs. In this paper we present Open Source SDG (OSDG) project and tool which does so by integrating existing research and previous classification into a robust and coherent framework. This integration is based on linking the features from the variety of previous approaches, like ontology items, keywords or features from machine-learning models, to the topics in Microsoft Academic Graph.
