A Bossy Sort of Voice: Using natural language processing to quantify sexism in Harry Potter talk
The Harry Potter series is an incredibly popular franchise that shaped a generation, but it's also been critiqued for its sometimes sexist portrayal of female characters. But how do you prove that this is true, especially when it feels like such a subjective claim? That's where tech comes in. Eleanor shares how to use natural language processing to analyze and quantify biased language in the series, giving us a taste of the wide reach and application of NPL.
Eleanor Stribling Principal PM Manager, Microsoft @eleanorstrib
Eleanor has been a software product manager in tiny startups, a mid-size public company, and a major tech company. Her passion for data-driven decision making and inter-disciplinary study has resulted in a stint in a programming bootcamp, AI and deep learning study through Udacity, a BA in Political Science from the University of Toronto, and an MBA from MIT. Born and raised in Toronto, she lives in San Francisco with her family.