Analysis of the effects of lockdown on staff and students at universities in Spain and Colombia using natural language processing techniques

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dc.contributor.authorJojoa Acosta, Mario Fernando
dc.contributor.authorGarcía-Zapirain, Begoña
dc.contributor.authorGonzález Reyes, Marino J.
dc.contributor.authorPérez Villa, Bernardo
dc.contributor.authorUrizar Mayora, Elena
dc.contributor.authorPonce Marquez, Sara
dc.contributor.authorTobar Blandón, Maria Fernanda
dc.date.accessioned2025-05-22T10:27:06Z
dc.date.available2025-05-22T10:27:06Z
dc.date.issued2022-05-07
dc.date.updated2025-05-22T10:27:06Z
dc.description.abstractThe aim of this study is to analyze the effects of lockdown using natural language processing techniques, particularly sentiment analysis methods applied at large scale. Further, our work searches to analyze the impact of COVID-19 on the university community, jointly on staff and students, and with a multi-country perspective. The main findings of this work show that the most often related words were “family”, “anxiety”, “house”, and “life”. Besides this finding, we also have shown that staff have a slightly less negative perception of the consequences of COVID-19 in their daily life. We have used artificial intelligence models such as swivel embedding and a multilayer perceptron as classification algorithms. The performance that was reached in terms of accuracy metrics was 88.8% and 88.5% for students and staff, respectively. The main conclusion of our study is that higher education institutions and policymakers around the world may benefit from these findings while formulating policy recommendations and strategies to support students during this and any future pandemics.en
dc.identifier.citationJojoa, M., Garcia-Zapirain, B., Gonzalez, M. J., Perez-Villa, B., Urizar, E., Ponce, S., & Tobar, M. (2022). Analysis of the effects of lockdown on staff and students at universities in Spain and Colombia using natural language processing techniques. International Journal of Environmental Research and Public Health, 19(9). https://doi.org/10.3390/IJERPH19095705
dc.identifier.doi10.3390/IJERPH19095705
dc.identifier.eissn1660-4601
dc.identifier.issn1661-7827
dc.identifier.urihttps://hdl.handle.net/20.500.14454/2812
dc.language.isoeng
dc.publisherMDPI
dc.rights© 2022 by the authors
dc.subject.otherContinents
dc.subject.otherCOVID-19
dc.subject.otherHabits
dc.subject.otherInstitutions
dc.subject.otherMental health
dc.subject.otherNatural language processing
dc.subject.otherOnline learning
dc.subject.otherPerception
dc.subject.otherSatisfaction
dc.subject.otherSocio-demographic factors
dc.subject.otherSwivel embedding
dc.subject.otherUniversity student
dc.subject.otherWord cloud
dc.titleAnalysis of the effects of lockdown on staff and students at universities in Spain and Colombia using natural language processing techniquesen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.issue9
oaire.citation.titleInternational Journal of Environmental Research and Public Health
oaire.citation.volume19
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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