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2024 | OriginalPaper | Chapter

COVID-19 and Behavioral Analytics: Deep Learning-Based Work-From-Home Sensing from Reddit Comments

Authors : M. M. Enes Yurtsever, Ekin Ekinci, Süleyman Eken

Published in: Computing, Internet of Things and Data Analytics

Publisher: Springer Nature Switzerland

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Abstract

For the foreseeable future, managing the work from home (WFH) workplace will continue to be a challenge for enterprises. An essential stage in developing and improving a plan is utilizing topic modeling and polarity sentiment analysis. This strategy can assist executives in sustaining productivity, customizing employee settings and experiences, and sustaining successful teamwork. The objective of this research is to utilize Reddit’s subreddits and behavioral analytics to detect work-from-home trends in the context of COVID-19, employing advanced computational methods. On textual data collected from 7 communities focusing on WFH-related discussion on Reddit from December 1, 2020, to August 31, 2022, we use sentiment analysis and latent topic modeling. Polarity analysis revealed that communities had a more favorable attitude towards WFH than a negative one. Community members were found to be worried about a range of issues associated to remote employment, according to topic modeling.

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Metadata
Title
COVID-19 and Behavioral Analytics: Deep Learning-Based Work-From-Home Sensing from Reddit Comments
Authors
M. M. Enes Yurtsever
Ekin Ekinci
Süleyman Eken
Copyright Year
2024
Book
Computing, Internet of Things and Data Analytics

Print ISBN: 978-3-031-53716-5

Electronic ISBN: 978-3-031-53717-2

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-3-031-53717-2_14

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