CourseObservatory: Sentiment analysis of comments in course surveys

Haydée G. Jiménez, Marco A. Casanova, Bernardo Pereira Nunes, Anna Carolina Finamore

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019
EditorsMaiga Chang, Demetrios G Sampson, Ronghuai Huang, Alex Sandro Gomes, Nian-Shing Chen, Ig Ibert Bittencourt, Kinshuk Kinshuk, Diego Dermeval, Ibsen Mateus Bittencourt
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages176-178
Number of pages3
ISBN (Electronic)9781728134857
DOIs
Publication statusPublished - Jul 2019
Externally publishedYes
Event19th IEEE International Conference on Advanced Learning Technologies, ICALT 2019 - Maceio, Brazil
Duration: 15 Jul 201918 Jul 2019

Publication series

NameProceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019

Conference

Conference19th IEEE International Conference on Advanced Learning Technologies, ICALT 2019
Country/TerritoryBrazil
CityMaceio
Period15/07/1918/07/19

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