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Neural Networks and Social Media Analytics
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When: Wednesday, April 5, 2017
12:30PM- 2:00PM
Where: CanChamHK Boardroom
Unit 10 BC, China Overseas Building
139 Hennessy Road
Wan Chai
Hong Kong
Contact: Huriya Yawar

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Neural Networks and Social Media Analytics
Date: Wednesday, 5 April, 2017
Time: 12:30 PM to 2:00 PM


CanChamHK Boardroom
Unit 10BC, China Overseas Building
139 Hennessy Road
Wan Chai
Hong Kong


Members: HK$100
Non-Members: HK$200

About the Event

The increasing popularity of social media has resulted in growth in the amount of digital data.User-generated content such as online product reviews are a valuable source of consumer insight. Such unstructured, big data is generated in real-time, being easily accessible and containing messages consumers want managers to hear. Analyzing such data has the potential to revolutionize market research and competitive analysis, but how can the messages be extracted? How can the vast amount of data be condensed into insights to help steer businesses’ strategy?

Professor Shane Wang will share a nonproprietary technique that can be applied by anyone with statistical training. Machine learning techniques can analyze huge amounts of text and describe the content as focusing on unseen attributes in a specific weighting.He will give the audience some latest machine learning examples too.
About the Speaker
Dr. Shane Wang

Dr. Shane Wang is MBA ’80 faculty fellow and an Assistant Professorof Marketing and Statistics at the Ivey Business School, Western University, Canada. Shane received his Ph.D. in Marketing from the University of Cincinnati. His research focuses on machine learning techniques with applications in marketing and social media analytics, B2B marketing, behavioral economics and Bayesian statistics.

His current research interest maps the relative strategic positions of competitors where they matter most – in the minds of consumers. His work has appeared in high-quality journals includingMarketing Science,Journal of Consumer Research,International Journal of Research in Marketing,Customer Needs and Solutionsand theJournal of Mathematical Psychology. Shane has unique insights on how to write and teach cases. At Ivey Business School, Shane teaches all programs: undergraduate, MSc (Master of Science), MBA, PhD, Executives, and he is also a frequent speaker at industry conferences (Canada Advertising Week, Data Marketing). His sharing economy cases such as Alibaba and Uber have been widely used in marketing, strategy, management, and information technology disciplines.

Shane has been the recipient of a plethora of prestigious awards in both teaching and research, including the Best Paper Award at American Marketing Association Winter Conference, The Ivey Research Merit Award and Western University Teaching Honor Roll Award of Excellence, to name a few.



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