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Analysis of the Effects of Lockdown on Staff and Students at Universities in Spain and Colombia Using Natural Language Processing Techniques.
Jojoa, Mario; Garcia-Zapirain, Begonya; Gonzalez, Marino J; Perez-Villa, Bernardo; Urizar, Elena; Ponce, Sara; Tobar-Blandon, Maria Fernanda.
  • Jojoa M; Department of Computer Science, Engineering Faculty, Electronics and Telecommunications University of Deusto, 48014 Bilbao, Spain.
  • Garcia-Zapirain B; Department of Computer Science, Engineering Faculty, Electronics and Telecommunications University of Deusto, 48014 Bilbao, Spain.
  • Gonzalez MJ; Unit of Public Policy, Simon Bolivar University, Caracas 89000, Venezuela.
  • Perez-Villa B; Heart, Vascular and Thoracic Institute, Cleveland Clinic Florida, Weston, FL 33331, USA.
  • Urizar E; Deusto Business School Health, University of Deusto, 48014 Bilbao, Spain.
  • Ponce S; International Research Projects Office (IRPO), University of Deusto, 48014 Bilbao, Spain.
  • Tobar-Blandon MF; Public Health School, Universidad del Valle, Cali 76001, Colombia.
Int J Environ Res Public Health ; 19(9)2022 05 07.
Article in English | MEDLINE | ID: covidwho-1953348
ABSTRACT
The 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: South America / Colombia / Europa Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph19095705

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: South America / Colombia / Europa Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph19095705