Enhancing Teaching and Learning of Text Analytics and Sentiment Analysis for Business Students
(TDG 2012/16)
Leader: Eric Ngai [MM]
Leader's email: eric.ngai@polyu.edu.hk
Other Members: Thomas Leung [MM], Vincent Cho [MM], Keung Chi-hong [MM], Daniel Ng [LMS],Johnny Wan [LMS], Stephen Gong [AF], Liu Ou [AF], James Liu [COMP], Dorothy Chau [COMP]
Objectives:
- To promote active learning in business research, particularly in text analytics
- To provide interactive, interdisciplinary, and contemporary learning experiences
- To design web-deliverable materials that support the teachers’ innovative teaching and learning approach for text analytics in business schools
- To facilitate the students’ first-hand experience on text analytics through active learning
- To develop the students’ knowledge and skills on text analytics as well as interdisciplinary thinking through case studies
- To provide a web-deliverable system that grasps the levels of understanding of individual students at his/her discretion and implement techniques that are appropriate in the level of understanding on specific subjects
Remarks:
Outcomes & Deliverables:
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Evaluation report on the project "Enhancing Teaching and Learning of Text Analytics and Sentiment Analysis for Business Students"
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Ngai, E.W.T., Leung, K., Lam, M.S.S., Chin, E.S.K., & Tao, S.S.C. (2015). Social media models, technologies and applications. Industrial Management & Data Systems, 115:5, 769-802.
The experiences reported in this section are collected from the project leaders. EDC is not liable for the accuracy of information and possible infringements of copyright associated with individual cases.