Data Mining of Students' Response on the University Services using Chi-square Automatic Interaction Detector (CHAID) Algorithm

被引：0

作者：

Rosas, Maryli F. ^{[1
]}

Ambat, Shaneth C. ^{[1
]}

Ballera, Melvin A. ^{[1
]}

机构：

[1] De La Salle Univ Dasmarinas, AMA Univ, Technol Inst Philippines, DBB Bagong Bayan, Project 8, Manila, Philippines

来源：

PROCEEDINGS OF THE 2018 1ST IEEE INTERNATIONAL CONFERENCE ON KNOWLEDGE INNOVATION AND INVENTION (ICKII 2018) | 2018年

关键词：

Data Mining; CHAID; regression; sentiment;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Students' insights are very vital in the continuous quality improvement of a. university. Students are the primary-consumers in higher education institution services[1]. One way to measure the quality of education is through the satisfaction level of the students based on students' overall university experience. Implementation of logistic regression and CHAID Algorithm was used to create the recommendation plan. Text analytics was integrated to extract key phrases and compute sentiment score to classify the comments according to satisfaction level.

引用

页码：244 / 247

页数：4

共 20 条

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