Topic Discovery of Online Course Reviews Using LDA with Leveraging Reviews Helpfulness
| Autor: | Yusep Rosmansyah, Suhono Harso Supangkat, Fetty Fitriyanti Lubis |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
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 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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