Assessing COVID-19 Impacts on College Students via Automated Processing of Free-form Text

Ravi Sharma, Sri Pagadala, Pratool Bharti, Sriram Chellappan, Trine Schmidt, Raj Goyal

Abstract

In this paper, we report experimental results on assessing the impact of COVID-19 on college students by processing free-form texts generated by them. By free-form texts, we mean textual entries posted by college students (enrolled in a four year US college) via an app specifically designed to assess and improve their mental health. Using a dataset comprising of more than 9000 textual entries from 1451 students collected over four months (split between pre and post COVID-19), and established NLP techniques, a) we assess how topics of most interest to student change between pre and post COVID-19, and b) we assess the sentiments that students exhibit in each topic between pre and post COVID-19. Our analysis reveals that topics like Education became noticeably less important to students post COVID-19, while Health became much more trending. We also found that across all topics, negative sentiment among students post COVID-19 was much higher compared to pre-COVID-19. We expect our study to have an impact on policy-makers in higher education across several spectra, including college administrators, teachers, parents, and mental health counselors.

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Paper Citation


in Harvard Style

Sharma R., Pagadala S., Bharti P., Chellappan S., Schmidt T. and Goyal R. (2021). Assessing COVID-19 Impacts on College Students via Automated Processing of Free-form Text.In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: HEALTHINF, ISBN 978-989-758-490-9, pages 459-466. DOI: 10.5220/0010249404590466


in Bibtex Style

@conference{healthinf21,
author={Ravi Sharma and Sri Pagadala and Pratool Bharti and Sriram Chellappan and Trine Schmidt and Raj Goyal},
title={Assessing COVID-19 Impacts on College Students via Automated Processing of Free-form Text},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: HEALTHINF,},
year={2021},
pages={459-466},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010249404590466},
isbn={978-989-758-490-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: HEALTHINF,
TI - Assessing COVID-19 Impacts on College Students via Automated Processing of Free-form Text
SN - 978-989-758-490-9
AU - Sharma R.
AU - Pagadala S.
AU - Bharti P.
AU - Chellappan S.
AU - Schmidt T.
AU - Goyal R.
PY - 2021
SP - 459
EP - 466
DO - 10.5220/0010249404590466