Geospatial information is often hidden away in unstructured formats such as text-based reports. Natural language processing (NLP) is a type of machine learning that allows you to extract information from such data. In this session, we will demonstrate how named entity recognition models can be used and how incomplete and malformed street addresses can be corrected, regularized, and completed using sequence-to-sequence and text classification models. We will also briefly look at how the same tasks can now be accomplished by integrating arcgis.learn.text models with Large language models.