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Topic Discovery of Online Course Reviews Using LDA with Leveraging Reviews Helpfulness
- Publication Year :
- 2019
- Publisher :
- Zenodo, 2019.
-
Abstract
- 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.
- Subjects :
- Topic model
Learner reviews
Perplexity
TheoryofComputation_COMPUTATIONBYABSTRACTDEVICES
General Computer Science
Computer science
MOOCs
05 social sciences
Sentiment analysis
Learning analytics
02 engineering and technology
021001 nanoscience & nanotechnology
Popularity
Topic modeling
World Wide Web
Online course
Helpfulness
0502 economics and business
050211 marketing
Electrical and Electronic Engineering
0210 nano-technology
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....c7c970e33981a1fc63abed03c63789fa