Multilingual topic modelling international collaborations: lessons from United Nations initiatives on food, water and climate
In a variety of domains, the United Nations (UN) asks countries and other actors to submit large volumes of documents. Natural Language Processing, especially topic modelling, can be used to gain insights into such datasets and their underlying politics. Here, we use topic models to analyse three different UN processes: the Global Stocktake under the… Continue reading Multilingual topic modelling international collaborations: lessons from United Nations initiatives on food, water and climate