In this project, you will find examples on how to use Watson Natural Language Processing models to extract insights from text. You'll also see how you can use Watson Natural Language Processing to create your own models. The project contains one data set as CSV, and five notebooks. 4 notebooks use the NLP Runtime 23.1 environment. This environment contains the watson_nlp Python library, and provides access to pre-trained NLP models. One notebook uses a custom environment, based on the latest Python and Watson NLP, to have more CPU and Memory resources available for the notebook.