Details

Apr 17: Neural Networks and Social Media Analytics

The increasing popularity of social media has resulted in growth in the amount of digital data. User-generated content, such as online product reviews, is a valuable source of consumer insight. Such unstructured big data is generated in real-time, is easily accessed, and contains messages consumers want managers to hear. Analysing such data has potential to revolutionise 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?

We are very pleased to invite Dr. Shane Wang from Ivey Business School to share a non-proprietary technique that can be applied by anyone with statistical training to help decision makers extract and understand key messages from the vast amount of data their company collects and holds. This will give senior managers and decision makers the ability to condense this information into insights that can help in future strategic planning.

Event Details

Time and Date 时间

15:00-17:00 Tuesday, 17th April 2018

2018年4月17日，15:00-17:00（周二）

Language 活动语言

English 英语

Address 地址

The British Centre, No. 5 Zhujiang Xi Road, Tianhe District, Guangzhou 510623, PRC

广州市天河区珠江西路5号广州国际金融中心22层2201B

Free of Charge 免费 Members ONLY 仅限会员

Contents

■ Digital Data and Technology Trend

电子数据及科技趋势

■ From Machine Learning to Deep learning?

如何做到机器学习同深度学习之间的转化？

■ What is Neural Networks?

什么是神经网络？

■ Empirical Examples: Text Mining, Image Mining and Video Mining

实证举例：文本挖掘、图像挖掘及视频挖掘

■ Q & A

问答

Speaker

■ Dr. Shane Wang

Dr. Shane Wang is MBA ’80 faculty fellow and an Assistant Professor of Marketing and Statistics at the Ivey Business School, University of Western Ontario, 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 including Marketing Science, Journal of Consumer Research, International Journal of Research in Marketing, Customer Needs and Solutions and the Journal 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 received many prestigious awards in both teaching and research, Best Paper award at American Marketing Association Winter Conference, Ivey research merit award, Western University teaching honor roll award of excellence, among others.

About Ivey Business School

Ivey Business School – Asia (www.ivey.com.hk) at Western University's Ivey Business School, the first international business school to establish a standalone campus in Greater China where it opened its Hong Kong location in 1998, is Canada’s leading provider of business education. Ivey Asia offers a top-ranked Executive MBA program, as well as a diverse range of Executive Development programs to over 1,000 executives annually. Renowned for its case method teaching, Ivey Asia is recognized as one of just four exclusive Case Study Method schools globally and is the world’s foremost producer of Asian and Indian case studies. The Case Study Method draws on extensive research and business experience, where Ivey Asia faculty provide an engaging and intensive educational experience, equipping graduates with the skills and capabilities needed to tackle leadership challenges in today’s complex business world.

Registration

Seats are limited, please reserve your seat via

jiaying.li@britchamgd.com

or call 020-8331 5013 606.

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