Text analytics, predictive models
Overview:
The use of unstructured data like texts is increasingly prevalent in business development and market competitiveness. From raising a company's profile to improving client and customer relations, this rapidly evolving sector has already affected the way many businesses work. This workshop introduces the major aspects of text analytics and how to churn predictive models. This workshop will also provide an understanding of existing and emerging analytics platforms and the ability to assess the impact of social media on business management. The workshop will encompass the analytics methodologies with practical text analytics applications such as text mining, analysing the unstructured data, interpreting and churning predictive models.
Date: July 25, July 26, 2022
Time: 9:00 AM -12:00 AM,1:00 PM - 5:00 PM (Beijing time)
Professor Kok Wei Khong
Executive Dean of the Faculty of Business and Law, Head of School of Marketing, Taylor's University
Research area: services marketing, user technology acceptance, social media studies.
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Understand the application of text analytics in social science research
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Describe and discuss the general framework for using text analytics as means of research, including:
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Defining the research problem
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Predictive analytics and machine learning