The economics and finance disciplines have traditionally relied on structured forms of data. In recent years, however, unstructured forms of data, such as text, have demonstrated considerable value in empirical applications, such as forecasting. In this talk, I will discuss the state of natural language processing in economics and finance research, focusing on examples related to central bank communication, which will be implemented using TensorFlow 2 and Python. [color=#111111][color=#111111][size=2][font=Verdana, Arial, Helvetica, sans-serif][size=2][font=Verdana, Arial, Helvetica, sans-serif][h2][/font][/size][/font][/size][/color][/color][color=#111111][size=2][font=Verdana, Arial, Helvetica, sans-serif][color=#111111][size=2][font=Verdana, Arial, Helvetica, sans-serif][b][url=https://drive.google.com/file/d/1uk5fwo1pHnSrc3hOywMKp8BxbFb0d-un/view?usp=sharing]Slides[/url][/b][/font][/size][/color][/font][/size][/color][color=#111111][color=#111111][size=2][font=Verdana, Arial, Helvetica, sans-serif][size=2][font=Verdana, Arial, Helvetica, sans-serif][/h2][/font][/size][/font][/size][/color][/color]