Comparing machine learning algorithms to predict topic keywords of student comments

Feng Liu; Xiaodi Huang; Weidong Huang

doi:10.1007/978-3-030-60816-3_20

Comparing machine learning algorithms to predict topic keywords of student comments

Feng Liu, Xiaodi Huang, Weidong Huang

Research output: Book chapter/Published conference paper › Chapter (peer-reviewed) › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Cooperative Design, Visualization, and Engineering
Editors	Yuhua Luo
Place of Publication	Cham, Switzerland
Publisher	Springer
Chapter	18
Pages	178-183
Number of pages	6
ISBN (Electronic)	9783030608163
ISBN (Print)	9783030608156
DOIs	https://doi.org/10.1007/978-3-030-60816-3_20
Publication status	E-pub ahead of print - 16 Oct 2020
Event	17th International Conference on Cooperative Design, Visualization and Engineering - Duration: 25 Oct 2020 → 28 Oct 2020

Publication series

Name	Lecture Notes in Computer Science
Volume	12341

Conference

Conference	17th International Conference on Cooperative Design, Visualization and Engineering
Period	25/10/20 → 28/10/20

Access to Document

10.1007/978-3-030-60816-3_20

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title = "Comparing machine learning algorithms to predict topic keywords of student comments",

abstract = "Student comments as a kind of online teaching feedback in highereducation organizations are becoming important which provides the evidence toimprove the quality of teaching and learning. Effectively extracting usefulinformation from the comments is critical. On the other hand, machine learningalgorithms have achieved great performance in automatically extracting informationand making predictions. This research compared the performance ofthree statistical machine learning algorithms and two deep learning methods ontopic keyword extraction.",

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author = "Feng Liu and Xiaodi Huang and Weidong Huang",

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doi = "10.1007/978-3-030-60816-3_20",

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editor = "Yuhua Luo",

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note = "17th International Conference on Cooperative Design, Visualization and Engineering ; Conference date: 25-10-2020 Through 28-10-2020",

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Liu, F, Huang, X & Huang, W 2020, Comparing machine learning algorithms to predict topic keywords of student comments. in Y Luo (ed.), Cooperative Design, Visualization, and Engineering. Lecture Notes in Computer Science, vol. 12341, Springer, Cham, Switzerland, pp. 178-183, 17th International Conference on Cooperative Design, Visualization and Engineering, 25/10/20. https://doi.org/10.1007/978-3-030-60816-3_20

Comparing machine learning algorithms to predict topic keywords of student comments. / Liu, Feng; Huang, Xiaodi; Huang, Weidong.

Cooperative Design, Visualization, and Engineering. ed. / Yuhua Luo. Cham, Switzerland : Springer, 2020. p. 178-183 (Lecture Notes in Computer Science; Vol. 12341).

Research output: Book chapter/Published conference paper › Chapter (peer-reviewed) › peer-review

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KW - SVM

KW - CNN

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Comparing machine learning algorithms to predict topic keywords of student comments

Abstract

Publication series

Conference

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