Text Mining of Open-Ended Questions in Self-Assessment of University Teachers: An LDA Topic Modeling Approach
Abstract
The large amount of text that is generated daily on the web through comments on social networks, blog posts and open-ended question surveys, among others, demonstrates that text data is used frequently, and therefore; its processing becomes a challenge for researchers. The topic modeling is one of the emerging techniques in text mining; it is based on the discovery of latent data and the search for relationships among text documents. In this...
Paper Details
Title
Text Mining of Open-Ended Questions in Self-Assessment of University Teachers: An LDA Topic Modeling Approach
Published Date
Jan 1, 2020
Journal
Volume
8
Pages
35318 - 35330
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