HANDLING OF STUDENT FEEDBACK BASED ON TEXT CLASSIFICATION

Ensuring quality training has been receiving a lot of attention from university training establishments. Learners play an important role in quality assurance in training and education. To understand the meaning of student feedback on training activities at Nha Trang University (NTU) and to improve t...

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Main Authors: Phạm Thị Kim Ngoan, Nguyễn Hải Triều
Format: Article
Language:English
Published: Dalat University 2020-09-01
Series:Tạp chí Khoa học Đại học Đà Lạt
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Online Access:http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/667
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author Phạm Thị Kim Ngoan
Nguyễn Hải Triều
author_facet Phạm Thị Kim Ngoan
Nguyễn Hải Triều
author_sort Phạm Thị Kim Ngoan
collection DOAJ
description Ensuring quality training has been receiving a lot of attention from university training establishments. Learners play an important role in quality assurance in training and education. To understand the meaning of student feedback on training activities at Nha Trang University (NTU) and to improve the university’s training, we propose to handle student feedback through automatic feedback classification and labeling. The classification and prediction of labels are based on the Support Vector Machine (SVM) and Naive Bayes Classifier (NBC) methods. Experiments with the SVM and NBC methods show positive results, 92.13% and 90.10%, respectively, for the data set of student reviews at Nha Trang University.
format Article
id doaj-art-59cc11f189f946be87e1b8af4d4736a2
institution Kabale University
issn 0866-787X
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language English
publishDate 2020-09-01
publisher Dalat University
record_format Article
series Tạp chí Khoa học Đại học Đà Lạt
spelling doaj-art-59cc11f189f946be87e1b8af4d4736a22025-02-02T03:22:30ZengDalat UniversityTạp chí Khoa học Đại học Đà Lạt0866-787X0866-787X2020-09-01103526610.37569/DalatUniversity.10.3.667(2020)332HANDLING OF STUDENT FEEDBACK BASED ON TEXT CLASSIFICATIONPhạm Thị Kim Ngoan0Nguyễn Hải Triều1Trường Đại học Nha TrangTrường Đại học Nha TrangEnsuring quality training has been receiving a lot of attention from university training establishments. Learners play an important role in quality assurance in training and education. To understand the meaning of student feedback on training activities at Nha Trang University (NTU) and to improve the university’s training, we propose to handle student feedback through automatic feedback classification and labeling. The classification and prediction of labels are based on the Support Vector Machine (SVM) and Naive Bayes Classifier (NBC) methods. Experiments with the SVM and NBC methods show positive results, 92.13% and 90.10%, respectively, for the data set of student reviews at Nha Trang University.http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/667naive bayesian classification (nbc)phân loại văn bảnsupport vector machine (svm)ý kiến người học.
spellingShingle Phạm Thị Kim Ngoan
Nguyễn Hải Triều
HANDLING OF STUDENT FEEDBACK BASED ON TEXT CLASSIFICATION
Tạp chí Khoa học Đại học Đà Lạt
naive bayesian classification (nbc)
phân loại văn bản
support vector machine (svm)
ý kiến người học.
title HANDLING OF STUDENT FEEDBACK BASED ON TEXT CLASSIFICATION
title_full HANDLING OF STUDENT FEEDBACK BASED ON TEXT CLASSIFICATION
title_fullStr HANDLING OF STUDENT FEEDBACK BASED ON TEXT CLASSIFICATION
title_full_unstemmed HANDLING OF STUDENT FEEDBACK BASED ON TEXT CLASSIFICATION
title_short HANDLING OF STUDENT FEEDBACK BASED ON TEXT CLASSIFICATION
title_sort handling of student feedback based on text classification
topic naive bayesian classification (nbc)
phân loại văn bản
support vector machine (svm)
ý kiến người học.
url http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/667
work_keys_str_mv AT phamthikimngoan handlingofstudentfeedbackbasedontextclassification
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