Nina van Diermen
I recently graduated from my master Business Analytics and Operations Research. To complete my master, I wrote my thesis about accelerating Ukrainian Aid by the Red Cross with BERTopic. During PyData, I am happy to tell you more about this cool research project. As of mid June, I started as a Data Scientist at Pipple. In my spare time, I like to play volleyball or go for a run.
Sessions
By means of Topic Modeling, discussed topics can be subtracted from a set of documents. BERTopic is a way of Topic Modeling that uses Large Language Models. A high-level overview of how BERTopic works will be presented, together with its evaluation and the application of it on a use case of the Netherlands Red Cross. In this use case, BERTopic supports in getting insights into the needs of Ukrainian refugees as expressed through social media. This presentation will help in understanding BERTopic and might inspire for other valuable use cases within your own field.