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A Study of Sentiments of Employees during COVID-19


Affiliations
1 Ph.D. Scholar, Ex-Vice President, Vodafone India Services Pvt Ltd, Uttarakhand,, India
2 Assistant Professor, Uttarakhand Open University, Haldwani, Uttarakhand, India
     

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Sentiments are mental attitudes and play an important role in forming opinions. Sentiment and emotion are interchangeably used, however have different meanings. The sentiment is a mental attitude or a thought influenced by emotion and has an important role in forming opinions and influencing future decisions of others. Employees are knowledgeable assets for any organization, and their sentiments about their organization, managers, co-workers, etc. create an opinion. The emotional well-being of employees has a direct relationship with the performance of the organization. The World Health Organization declared COVID-19 as a pandemic on March 11, 2020. Many countries declared lockdowns, with unimaginable restrictions to control the spread of this pandemic. This resulted in organizations swiftly adapting to work-fromhome methods, almost overnight. This paper studies the sentiments and emotional wellbeing of employees during the COVID-19 pandemic. The study was conducted undertaking a review of the literature and adopting a framework for sentiment analysis and emotional wellbeing. The study shows that employees have mixed sentiments of feeling excited, positive, anxious, angry, and negative. Most of the participants with positive and excited sentiments believe that this pandemic has created a challenge as well as an opportunity.

Keywords

Sentiments, Analysis, Emotional Wellbeing, Employees, COVID-19
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  • Berrios, R., Totterdell, P., & Kellett, S. (2015). Eliciting mixed emotions: A meta-analysis comparing models, types, and measures. Frontiers in Psychology, 6, 428.

  • Butler, J., & Kern, M. L. (2016). The PERMA-Profiler: A brief multidimensional measure of flourishing. International Journal of Wellbeing, 6(3).

  • Capabilities. (n.d.). Retrieved from https://www.rosette.com/capabilities/

  • Dale, R. (2018). Text analytics apis, part 1: The bigger players. Natural Language Engineering, 24(2), 317-324.

  • Dale, R. (2018). Text analytics APIs, part 2: The smaller players. Natural Language Engineering, 24(5), 797-803.

  • Feldman, R. (2013). Techniques and applications for sentiment analysis. Communications of the ACM, 56(4), 82-89.

  • Fricker, R. D. (2008). Sampling methods for web and email surveys. The SAGE Handbook of Online Research Methods, 195-216.

  • Izard, C. E. (2013). Human emotions, springer science & business media.

  • Luminet, O., Papageorgiou, C., & Wells, A. (2004).Assessment and measurement of rumination.Depressive Rumination: Nature, Theory and Treatment, 187-215.

  • Jin, Y. (2017). Development of word cloud generator software based on python. Procedia Engineering, 174, 788-792.

  • Kern, M. (2014). The Workplace PERMA Profiler. University of Pennsylvania. (Permission taken to use the tool for non-commercial purposes by submitting online form and sending an email on 18th April, 2020).

  • Liu, B. (2012). Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies, 5(1), 1-167.

  • Lobur, M., Romanyuk, A., & Romanyshyn, M. (2011, February). Using NLTK for educational and scientific purposes. In 2011 11th International Conference the Experience of Designing and Application of CAD Systems in Microelectronics (CADSM) (pp. 426-428).IEEE.

  • Loper, E., & Bird, S. (2002). Nltk: The natural language toolkit. arXiv preprint cs/0205028.

  • McNaught, C., & Lam, P. (2010). Using Wordle as a supplementary research tool. Qualitative Report, 15(3), 630-643.

  • Myers, D. G. (2004). Theories of emotion: Psychology (7th ed.). New York, NY: Worth Publishers.

  • Natural Language Toolkit. (n.d.). Retrieved from https:// www.nltk.org/

  • People Analytics & Voice of Employee. (n.d.). Retrieved from https://www.lexalytics.com/applications#voe

  • Risch, J., Kao, A., Poteet, S. R., & Wu, Y. J. J. (2008). Text visualization for visual text analytics. In Visual Data Mining (pp. 154-171). Berlin, Heidelberg: Springer.

  • Seligman, M. E. (2012). Flourish: A visionary new understanding of happiness and well-being. Simon and Schuster.

  • SentiStrength. (n.d.). Retrieved from http://sentistrength.wlv.ac.uk/

  • Solutions. (n.d.). Retrieved from https://aylien.com/

  • Text Analysis APIs. (n.d.). Retrieved from https://www.paralleldots.com/text-analysis-apis

  • Text Analytics. (n.d.). Retrieved from https://www.meaningcloud.com/ Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., & Kappas, A. (2010). Sentiment strength detection in short informal text. Journal of the American Society for Information Science and Technology, 61(12), 2544-2558.

  • Use Cases. (n.d.). Retrieved from https://indico.io/

  • WHO Director-General’s opening remarks at the media briefing on COVID-19 - 11 March 2020. (2020).Retrieved from https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-COVID19---11-march-2020


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  • A Study of Sentiments of Employees during COVID-19

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Authors

Sudhir Kumar Pant
Ph.D. Scholar, Ex-Vice President, Vodafone India Services Pvt Ltd, Uttarakhand,, India
Manjari Agarwal
Assistant Professor, Uttarakhand Open University, Haldwani, Uttarakhand, India

Abstract


Sentiments are mental attitudes and play an important role in forming opinions. Sentiment and emotion are interchangeably used, however have different meanings. The sentiment is a mental attitude or a thought influenced by emotion and has an important role in forming opinions and influencing future decisions of others. Employees are knowledgeable assets for any organization, and their sentiments about their organization, managers, co-workers, etc. create an opinion. The emotional well-being of employees has a direct relationship with the performance of the organization. The World Health Organization declared COVID-19 as a pandemic on March 11, 2020. Many countries declared lockdowns, with unimaginable restrictions to control the spread of this pandemic. This resulted in organizations swiftly adapting to work-fromhome methods, almost overnight. This paper studies the sentiments and emotional wellbeing of employees during the COVID-19 pandemic. The study was conducted undertaking a review of the literature and adopting a framework for sentiment analysis and emotional wellbeing. The study shows that employees have mixed sentiments of feeling excited, positive, anxious, angry, and negative. Most of the participants with positive and excited sentiments believe that this pandemic has created a challenge as well as an opportunity.

Keywords


Sentiments, Analysis, Emotional Wellbeing, Employees, COVID-19

References