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2020 | OriginalPaper | Chapter

Comparing Machine Learning Algorithms to Predict Topic Keywords of Student Comments

Authors : Feng Liu, Xiaodi Huang, Weidong Huang

Published in: Cooperative Design, Visualization, and Engineering

Publisher: Springer International Publishing

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Abstract

Student comments as a kind of online teaching feedback in higher education organizations are becoming important which provides the evidence to improve the quality of teaching and learning. Effectively extracting useful information from the comments is critical. On the other hand, machine learning algorithms have achieved great performance in automatically extracting information and making predictions. This research compared the performance of three statistical machine learning algorithms and two deep learning methods on topic keyword extraction.

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Metadata
Title
Comparing Machine Learning Algorithms to Predict Topic Keywords of Student Comments
Authors
Feng Liu
Xiaodi Huang
Weidong Huang
Copyright Year
2020
Book
Cooperative Design, Visualization, and Engineering

Print ISBN: 978-3-030-60815-6

Electronic ISBN: 978-3-030-60816-3

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-60816-3_20