A4 Article in conference proceedings
Implementing sentiment analysis to an open-ended questionnaire : Case study of digitalization in elderly care during COVID-19 (2022)

Toivanen, I., Räsänen, V., Lindroos, J., Oinas, T., & Taipale, S. (2022). Implementing sentiment analysis to an open-ended questionnaire : Case study of digitalization in elderly care during COVID-19. In J. Domenech, & M. R. Vicent (Eds.), CARMA 2022 : 4th International Conference on Advanced Research Methods and Analytics (pp. 205-212). Editorial de la Universitat Politècnica de València. International Conference of Advanced Research Methods and Analytics. https://doi.org/10.4995/CARMA2022.2022.15089

JYU authors or editors

Publication details

All authors or editors: Toivanen, Ida; Räsänen, Venla; Lindroos, Jari; Oinas, Tomi; Taipale, Sakari

Parent publication: CARMA 2022 : 4th International Conference on Advanced Research Methods and Analytics

Parent publication editors: Domenech, Josep; Vicent, María Rosalía

Place and date of conference: Valencia, Spain, 29.-30.6.2022

eISBN: 978-84-1396-018-0

Journal or series: International Conference of Advanced Research Methods and Analytics

eISSN: 2951-9748

Publication year: 2022

Publication date: 26/06/2022

Pages range: 205-212

Number of pages in the book: 291

Publisher: Editorial de la Universitat Politècnica de València

Publication country: Spain

Publication language: English

DOI: https://doi.org/10.4995/CARMA2022.2022.15089

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/83379

Abstract

The rise of technology has enabled us to utilize even more integrated systems for social and health care, but these systems are often complex and time-consuming to learn for the end users without relevant training or experience. We aim to perform sentiment analysis based on the answers of eldercare workers that have taken a survey about the effects of digitalization in their work. The collecting of the panel survey data was done in two waves: in 2019 and 2021. For the sentiment analysis we compare these two waves to determine the effects of COVID-19 in the work of caretakers. The research questions we ask are the following: “Has technology affected care workers’ emotions in their work and how?" and “Has COVID-19 affected care workers’ views on digitalization in their work?”. The main results suggest that criticism of modern technology persists through time - that is, before and after the pandemic the same type of negative and positive sentiments are manifested in the results. However, there is an exception of COVID-related terminology that is only visible in the latter part (year 2021) of the analysis.

Keywords: social services; care for the elderly; digitalisation; elderly-care workers; digital competence; experiences (knowledge); emotions; COVID-19

Free keywords: eldercare work; digitalization; sentiment analysis; named entity recognition; BERT

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2022

JUFO rating: 0