Strategy mining on university students’ feedback
Strategies can be mined by analyzing advices and recommendations from university students. Useful knowledge from text analysis surface potential new strategy, which can be used by university operators.Strategy in this context is defined as a plan of action or policy that gives direction. In the c...
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my.uum.repo.200732016-11-29T02:44:36Z http://repo.uum.edu.my/20073/ Strategy mining on university students’ feedback Angela, Lee Siew Hoong Tong, Ming Lim HD28 Management. Industrial Management LB2300 Higher Education Strategies can be mined by analyzing advices and recommendations from university students. Useful knowledge from text analysis surface potential new strategy, which can be used by university operators.Strategy in this context is defined as a plan of action or policy that gives direction. In the contact of students’ feedback, outcomes of text mining can be presented as concept map where key concepts and sub concepts are linked and hence provide directions.However, these linked concepts are not final strategy but rather preliminary draft ‘strategy’ or ‘direction’ where fine-tuning is required.The analysis also presents clusters of concepts where themes that are closely interrelated are put into the same cluster so that different strategy can be formed on different issues.The feedback in this research consists of advice and recommendations of the university students in a yearly university survey.The text mining methodology used in this research entails text parsing, filtering, and topics and clustering of themes once these unstructured texts are pre-processed.This paper concludes by drawing several issues to the attention of the institute. 2016-08-29 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/20073/1/KMICe2016%20179%20185.pdf Angela, Lee Siew Hoong and Tong, Ming Lim (2016) Strategy mining on university students’ feedback. In: Knowledge Management International Conference (KMICe) 2016, 29 – 30 August 2016, Chiang Mai, Thailand. http://www.kmice.cms.net.my/kmice2016/files/KMICe2016_eproceeding.pdf |
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HD28 Management. Industrial Management LB2300 Higher Education Angela, Lee Siew Hoong Tong, Ming Lim Strategy mining on university students’ feedback |
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Strategies can be mined by analyzing advices and
recommendations from university students. Useful
knowledge from text analysis surface potential new
strategy, which can be used by university operators.Strategy in this context is defined as a plan of action or policy that gives direction. In the contact of students’ feedback, outcomes of text mining can be presented as concept map where key concepts and sub concepts are linked and hence provide directions.However, these linked concepts are not final strategy but rather preliminary draft ‘strategy’ or ‘direction’ where fine-tuning is required.The analysis also presents clusters of concepts where themes that are closely interrelated are put into the same cluster so that different strategy can be formed on different issues.The feedback in this research consists of advice and recommendations of the university students in a yearly university survey.The
text mining methodology used in this research
entails text parsing, filtering, and topics and
clustering of themes once these unstructured texts
are pre-processed.This paper concludes by drawing
several issues to the attention of the institute. |
format |
Conference or Workshop Item |
author |
Angela, Lee Siew Hoong Tong, Ming Lim |
author_facet |
Angela, Lee Siew Hoong Tong, Ming Lim |
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Angela, Lee Siew Hoong |
title |
Strategy mining on university students’ feedback |
title_short |
Strategy mining on university students’ feedback |
title_full |
Strategy mining on university students’ feedback |
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Strategy mining on university students’ feedback |
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Strategy mining on university students’ feedback |
title_sort |
strategy mining on university students’ feedback |
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2016 |
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http://repo.uum.edu.my/20073/1/KMICe2016%20179%20185.pdf http://repo.uum.edu.my/20073/ http://www.kmice.cms.net.my/kmice2016/files/KMICe2016_eproceeding.pdf |
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