CourseObservatory: Sentiment Analysis of Comments in Course Surveys

H. Jiménez, M. Casanova, B. Nunes, A. Finamore
{"title":"CourseObservatory: Sentiment Analysis of Comments in Course Surveys","authors":"H. Jiménez, M. Casanova, B. Nunes, A. Finamore","doi":"10.1109/ICALT.2019.00053","DOIUrl":null,"url":null,"abstract":"This article describes experiments with a tool, called CourseObservatory, that applies sentiment analysis to comments made by students during course surveys. The main objective is to provide course coordinators and teachers with relevant information about the courses students take based on their qualitative feedbacks. The experiments use a dataset that contains comments in Portuguese found in questionnaires filled out by students from mid-2005 to the first semester of 2018, with a total of nearly 170,000 comments, after a cleaning process that removes blank comments. The experiments show that comments made by students are influenced by the final status achieved (approved or failed), among other facts.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"2161-377X 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT.2019.00053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This article describes experiments with a tool, called CourseObservatory, that applies sentiment analysis to comments made by students during course surveys. The main objective is to provide course coordinators and teachers with relevant information about the courses students take based on their qualitative feedbacks. The experiments use a dataset that contains comments in Portuguese found in questionnaires filled out by students from mid-2005 to the first semester of 2018, with a total of nearly 170,000 comments, after a cleaning process that removes blank comments. The experiments show that comments made by students are influenced by the final status achieved (approved or failed), among other facts.
课程观察:课程调查评论的情感分析
本文描述了一个名为CourseObservatory的工具的实验,该工具将情感分析应用于学生在课程调查期间所做的评论。主要目的是根据学生的定性反馈,为课程协调员和教师提供有关学生所修课程的相关信息。实验使用了一个数据集,其中包含2005年中期至2018年第一学期学生填写的问卷中的葡萄牙语评论,在删除空白评论的清理过程后,总共有近17万条评论。实验表明,学生的评论会受到最终成绩(通过或不通过)等因素的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信