ML with text data: topic modeling & semantic analysis

Dror Walter will present his work on the impact of thematic diversity in Senate candidates' news coverage and social media activity and the candidates' electoral success.

The talk will address two types of unsupervised machine learning methods, topic modeling and semantic network analysis, the logic behind them, and the ways by which these methods can be used to explore features of political discourse structure such as thematic diversity.

Agenda:

6:00 PM - 6:30 PM Networking & Food

6:30 PM - 7:15 PM Presentation

7:15 PM - 8:00 PM Q&A, Networking, random chats

Location: WeWork 1601 Market Street

Speaker:

Dror Walter is a recent doctoral graduate at the University of Pennsylvania Annenberg School for Communication. His research is centered on the intersection between classic media effects theories, political communication, and computational social sciences methods.

This PhillyR meetup supported by your TLC and sponsorship from great companies in Philadelphia. This event's coffee, beer, location are sponsored by WeWork. Pizzas and drinks are sponsored by Jornaya. They are hiring data scientist and data analyst! Bring your resume and talk with the team! https://www.jornaya.com/about/careers/