Workshop on Social Media Analytics
PRMIA Hong Kong presents a Workshop Series on Recent Developments in Business Analytics and New Research Directions.
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Agenda Speakers
Date:
November 29, 2018
Time:
14:30 - 18:30
Agenda |
Time |
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Event |
14:30 - 14:40
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Opening Remarks
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14:40 - 15:30
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"Topic Sentiment Asset Pricing with DNN Supervised Learning"
Prof. Ying CHEN, Associate Professor, National University of Singapore
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15:30 - 16:20
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"Detecting Comments Showing Risk for Suicide in Social Media"
Prof. Philip YU, Associate Professor, The University of Hong Kong
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16:20 - 16:50 |
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Refreshments |
16:50 - 17:40 |
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"When Social Listening Meets Marketing & Communication"
Mr. Albus TANG, Regional Data Analyst, Young & Rubicam, WPP |
17:40 - 18:30 |
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"Analytics for Complex Data in Digital World"
Research Sharing and Consultation
Prof. Ying CHEN, Associate Professor, National University of Singapore |
Speakers
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Bio |
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Prof. Ying CHEN, Associate Professor, National University of Singapore
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Ying Chen is a financial statistician and data scientist. She develops statistical modelling and
machine learning methods to analyze nonstationary, high frequency and large dimensional
complex data such as cryptocurrency, limit order book, and renewable energy. She also works
on business intelligence, forecasting, text mining and sentiment analysis, and network analysis.
Chen is Associate Professor in Department of Statistics and Applied Probability, and Department
of Economics (Courtesy appointment, April 1, 2018 to March 31, 2021) at the National University
of Singapore. She is also Faculty member in NUS Graduate School for Integrative Sciences and
Engineering since July 2016. Chen is Associate Editor of Statistica Sinica (August 1, 2017 to July
31, 2020), Statistics and Its Interface, Computational Statistics and the Journal Operations
Research and Decisions. Chen is ISI Elected Member since March 2016. She is Scientific Secretary
and member of Executive Committee of the International Association for Statistical Computing
(IASC) from July 2017 to June 2019 and Board of Director ordinary member of the Asian Regional
Section (ARS) of IASC. She is regular member of the Advisory Board of Institute of Statistical
Mathematics, Japan from 1 April 2018 to 31 March 2020.
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Prof. Philip YU, Associate Professor, The University of Hong Kong
Philip L.H. Yu is an Assistant Dean (Taught Postgraduate Programmes), Faculty of Science and
Associate Professor at the Department of Statistics and Actuarial Science of the University of
Hong Kong. He is also the Chairperson of the Asian Regional Section of the International
Association for Statistical Computing and a member of Technical Committee of Computational
Finance and Economics, IEEE Computational Intelligence Society. His areas of research interests
are AI and big data analytics, preference learning, data mining and machine learning, text
analytics, and financial and risk management. He has written two research monographs and
published more than 100 publications in conference proceedings and international refereed
journals.
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Mr. Albus TANG, Regional Data Analyst, Young & Rubicam, WPP
Albus TANG, an alumnus of the Hang Seng University of Hong Kong, is an enthusiast in Digital
& Data Analytic Marketing. Being the Regional Data Analyst at Y&R, a subsidiary of WPP plc,
Albus is dedicated to the analysis of Y&R’s BrandAsset® Valuator (BAV® Data) and Social
Listening. With his unique insight & experience in Data Analysis and Social Listening, he has
offered a lot of Business Intelligence and Communication Strategy for his clients in Asia Pacific
and Greater Bay Area, such as Colgate, Caltex, Puma and UOB.
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