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Unlock Unstructured Social Media Data in Marketing

ASA Statistics on Marketing will hold monthly online workshop on topics at data science in marketing. It will be online using Google Hangouts On Air. See information for our previous and future workshops at: http://scientistcafe.com/. Welcome to join ASA Statistics in Marketing here.

Social media have created a reverberating “echoverse” for brand communication, forming complex feedback loops between the “universe” of corporate communications, news media, and user-generated social media. Prof. William Rand will talk about using computational linguistics techniques to analyze longitudinal unstructured data to understand these feedback loops. He will also talk about building agent-based decision support systems for word-of-mouth programs.
It will be online and you can watch the live broadcasting on YouTube or watch the recorded video later.

Date: Mar 28, 2017
YouTube Link: https://youtu.be/svaLEPrV3VA
Time: 5:00 – 6:30 pm (Central Time)

William Rand: SFI alum and professor of business management at North Carolina State University. His research interests are Agent-Based Modeling, Social Media, Marketing and Artificial Intelligence. He recently co-authored a textbook on agent-based modeling with Uri Wilensky, the author of the NetLogo programming language. Bill received his BS in Computer Science from Michigan State University, MS and PhD in Computer Science from University of Michigan.

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