Semi-Supervised Event Predictions with Graph Networks

This paper describes how we envision classifying events into the United Nations Sustainable Development Goals (SDGs) by utilizing machine learning techniques on global news data. We propose extracting data from a media intelligence platform using an ontology and a classifier to assign each event to its corresponding SDG. To minimize the labeling effort, a few-shot classification approach is employed. Additionally, a labeling tool is developed to facilitate event analysis and assign labels accurately. We envision this approach could be used for analyzing media events at a large scale and track progress towards the SDGs.