Comparing machine learning algorithms to predict topic keywords of student comments

Feng Liu, Xiaodi Huang, Weidong Huang

Research output: Book chapter/Published conference paperChapter (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 languageEnglish
Title of host publicationCooperative Design, Visualization, and Engineering
EditorsYuhua Luo
Place of PublicationCham, Switzerland
PublisherSpringer
Chapter18
Pages178-183
Number of pages6
ISBN (Electronic)9783030608163
ISBN (Print)9783030608156
DOIs
Publication statusE-pub ahead of print - 16 Oct 2020
Event17th International Conference on Cooperative Design, Visualization and Engineering -
Duration: 25 Oct 202028 Oct 2020

Publication series

NameLecture Notes in Computer Science
Volume12341

Conference

Conference17th International Conference on Cooperative Design, Visualization and Engineering
Period25/10/2028/10/20

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