@inbook{342ae4e74dcb44d1a6bca2c6aee41227,
title = "Comparing machine learning algorithms to predict topic keywords of student comments",
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.",
keywords = "Student comments, Machine learning, Topic keywords extraction, Na{\"i}ve bayes, LogR, SVM, CNN, Att-LSTM",
author = "Feng Liu and Xiaodi Huang and Weidong Huang",
note = "Includes bibliographical references.; 17th International Conference on Cooperative Design, Visualization and Engineering ; Conference date: 25-10-2020 Through 28-10-2020",
year = "2020",
month = oct,
day = "16",
doi = "10.1007/978-3-030-60816-3_20",
language = "English",
isbn = "9783030608156",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "178--183",
editor = "Yuhua Luo",
booktitle = "Cooperative design, visualization, and engineering",
address = "United States",
}