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Comparing Machine Learning Algorithms to Predict Topic Keywords of Student Comments

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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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APA

Liu, F., Huang, X., & Huang, W. (2020). Comparing Machine Learning Algorithms to Predict Topic Keywords of Student Comments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12341 LNCS, pp. 178–183). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60816-3_20

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