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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

Author

Listed:
  • Mario Jojoa

    (Department of Computer Science, Engineering Faculty, Electronics and Telecommunications University of Deusto, 48014 Bilbao, Spain)

  • Begonya Garcia-Zapirain

    (Department of Computer Science, Engineering Faculty, Electronics and Telecommunications University of Deusto, 48014 Bilbao, Spain)

  • Marino J. Gonzalez

    (Unit of Public Policy, Simon Bolivar University, Caracas 89000, Venezuela)

  • Bernardo Perez-Villa

    (Heart, Vascular and Thoracic Institute, Cleveland Clinic Florida, Weston, FL 33331, USA)

  • Elena Urizar

    (Deusto Business School Health, University of Deusto, 48014 Bilbao, Spain)

  • Sara Ponce

    (International Research Projects Office (IRPO), University of Deusto, 48014 Bilbao, Spain)

  • Maria Fernanda Tobar-Blandon

    (Public Health School, Universidad del Valle, Cali 76001, Colombia)

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.

Suggested Citation

  • Mario Jojoa & Begonya Garcia-Zapirain & Marino J. Gonzalez & Bernardo Perez-Villa & Elena Urizar & Sara Ponce & Maria Fernanda Tobar-Blandon, 2022. "Analysis of the Effects of Lockdown on Staff and Students at Universities in Spain and Colombia Using Natural Language Processing Techniques," IJERPH, MDPI, vol. 19(9), pages 1-20, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5705-:d:810573
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    References listed on IDEAS

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    1. Katz, Raúl & Jung, Juan & Callorda, Fernando, . "El estado de la digitalización de América Latina frente a la pandemia del COVID-19," Books, CAF Development Bank Of Latinamerica, number 1540.
    2. Ioulia Solomou & Fofi Constantinidou, 2020. "Prevalence and Predictors of Anxiety and Depression Symptoms during the COVID-19 Pandemic and Compliance with Precautionary Measures: Age and Sex Matter," IJERPH, MDPI, vol. 17(14), pages 1-19, July.
    3. Aleksander Aristovnik & Damijana Keržič & Dejan Ravšelj & Nina Tomaževič & Lan Umek, 2020. "Impacts of the COVID-19 Pandemic on Life of Higher Education Students: A Global Perspective," Sustainability, MDPI, vol. 12(20), pages 1-34, October.
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    Cited by:

    1. Juan Antonio Dip, 2023. "El Estrés y Ansiedad por COVID-19. Los Sentimientos de los Estudiantes Reflejados en la Opinión de una Encuesta Realizada en Pandemia," Working Papers 213, Red Nacional de Investigadores en Economía (RedNIE).
    2. Carlos Henríquez Miranda & German Sanchez-Torres & Dixon Salcedo, 2023. "Exploring the Evolution of Sentiment in Spanish Pandemic Tweets: A Data Analysis Based on a Fine-Tuned BERT Architecture," Data, MDPI, vol. 8(6), pages 1-18, May.

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