| Autor: |
Marzukhi, Syahaneim, Aman, Muhammad Harith Mohd Nazrul, Awang, Nor Fatimah, Zakaria, Syed Nasir Alsagoff Syed |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3135 Issue 1, p1-8, 8p |
| Abstrakt: |
Examining Students' Opinions about NDUM e-Learning during COVID-19 is a study to improve the NDUM e-Learning system based on Sentiment Analysis approach. Firstly, surveys are distributed among the students to get feedback related to NDUM e-Learning. From the feedback, useful data can be collected for data analytic process. CRISP-DM framework and Opinion Mining architecture is used for this study. Next, Sentiment Analysis is implemented to classify the student's feedback into "positive" and "negative" sentiment. Further, two machine learning algorithms (i.e. Decision Tree and SVM) are used to construct the classifier model. Finally, results are displayed in graphical form to illustrate findings of the study. The result provides an overview of the level of satisfaction, suitability, system improvement, suggestions and the overall impact of the use of NDUM E-Learning during the pandemic. first, second, and third level headings (first level heading) [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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