Discover semantic topics in a collection of documents by leveraging open source projects. "Transformer-based language models have been revolutionizing the field of natural language understanding. In this talk, I will showcase how publicly available language models can be used to discover semantically valid topics from a collection of unstructured texts. This technique is called topic modeling, and can help organize and offer insights to understand large collections of documents. Welcome! "