Topic Discovery of Online Course Reviews Using LDA with Leveraging Reviews Helpfulness

Main Authors: Lubis, Fetty Fitriyanti, Rosmansyah, Yusep, Supangkat, Suhono H.
Format: Article
Bahasa: eng
Terbitan: , 2019
Subjects:
Online Access: https://zenodo.org/record/4061212
ctrlnum 4061212
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Lubis, Fetty Fitriyanti</creator><creator>Rosmansyah, Yusep</creator><creator>Supangkat, Suhono H.</creator><date>2019-02-01</date><description>Despite the popularity of the Massive Open Online Courses, smallscale research has been done to understand the factors that influence the teaching-learning process through the massive online platform. Using topic modeling approach, our results show terms with prior knowledge to understand e.g.: Chuck as the instructor name. So, we proposed the topic modeling approach on helpful subjective reviews. The results show five influential factors: &#x201C;learn easy excellent class program&#x201D;, &#x201C;python learn class easy lot&#x201D;, &#x201C;Program learn easy python time game&#x201D;, and &#x201C;learn class python time game&#x201D;. Also, research results showed that the proposed method improved the perplexity score on the LDA model.</description><identifier>https://zenodo.org/record/4061212</identifier><identifier>10.11591/ijece.v9i1.pp426-438</identifier><identifier>oai:zenodo.org:4061212</identifier><language>eng</language><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><source>International Journal of Electrical and Computer Engineering (IJECE) 9(1) 426-438</source><subject>Learner reviews</subject><subject>Learning analytics</subject><subject>MOOCs</subject><subject>Sentiment analysis</subject><subject>Topic modeling</subject><title>Topic Discovery of Online Course Reviews Using LDA with Leveraging Reviews Helpfulness</title><type>Journal:Article</type><type>Journal:Article</type><recordID>4061212</recordID></dc>
language eng
format Journal:Article
Journal
author Lubis, Fetty Fitriyanti
Rosmansyah, Yusep
Supangkat, Suhono H.
title Topic Discovery of Online Course Reviews Using LDA with Leveraging Reviews Helpfulness
publishDate 2019
topic Learner reviews
Learning analytics
MOOCs
Sentiment analysis
Topic modeling
url https://zenodo.org/record/4061212
contents Despite the popularity of the Massive Open Online Courses, smallscale research has been done to understand the factors that influence the teaching-learning process through the massive online platform. Using topic modeling approach, our results show terms with prior knowledge to understand e.g.: Chuck as the instructor name. So, we proposed the topic modeling approach on helpful subjective reviews. The results show five influential factors: “learn easy excellent class program”, “python learn class easy lot”, “Program learn easy python time game”, and “learn class python time game”. Also, research results showed that the proposed method improved the perplexity score on the LDA model.
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