Mining social media opinion on online distance learning issues during and after movement control order (MCO) in Malaysia using topic modeling approach
Journal: International Journal of Advanced Technology and Engineering Exploration (IJATEE) (Vol.8, No. 75)Publication Date: 2021-02-27
Authors : Noor Afni Deraman Alya Geogiana Buja Siti Daleela Mohd Wahid; Mohd Ali Mohd Isa;
Page : 371-381
Keywords : Movement control order (MC); Open and distance learning (ODL); Opinion mining; Social media analytic; Topic modeling.;
Abstract
The implementation of the Movement Control Order (MCO), which resulted in the closing of non-essential operations, led to the implementation of online learning at the university. This sudden announcement places university stakeholders in a state of unpreparedness to face the challenge of Open and Distance Learning (ODL). As this occurs unexpectedly and affects various people from all backgrounds, social media's views and debates need to be checked. This is necessary such that support can be given and their concerns heard, and action can be taken. This study is done by scrapping data from Facebook and Twitter with specific keywords from 17th March 2020 to 10th October 2020. A total of 2000 data were collected, but only 1283 were used after the pre-processing of the document. The results of the study show that the issues often addressed include "fees," "tired," "ODL," "information," and "zakat."
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