video1.0<iframe src="https://www.loom.com/embed/813d03b9de5844f2b060a5d410245f98" frameborder="0" width="1152" height="864" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8641152Loomhttps://www.loom.com8641152https://cdn.loom.com/sessions/thumbnails/813d03b9de5844f2b060a5d410245f98-1720459510726.gif637.685Join me in this tutorial series to learn about Humane Intelligence's bias bounty challenge. I cover how to use spaCy, a Python library, to analyze the text from our filtered DataFrames and then provide step-by-step code on how to extract the Named Entities from each conversation. Video 3 Jupyter Notebook: https://bit.ly/3zBTmun Did you miss Video 1 - Accessing the Data? Watch it here: https://bit.ly/45Vp1TE Did you miss Video 2 - Inspecting the Data? Watch it here: https://bit.ly/3RYEb4Q