Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 Context
The implementation of the telework model has become popular globally due to the COVID-19 pandemic. However, this new model of work organization generates conflicting opinions regarding the positive and negative effects that its implementation can bring to organizations. In this study, sentiment anal...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Social Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-0760/12/11/623 |
| _version_ | 1797457704319451136 |
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| author | Joan Sebastián Rojas Rincón Andrés Ricardo Riveros Tarazona Andrés Mauricio Mejía Martínez Julio César Acosta-Prado |
| author_facet | Joan Sebastián Rojas Rincón Andrés Ricardo Riveros Tarazona Andrés Mauricio Mejía Martínez Julio César Acosta-Prado |
| author_sort | Joan Sebastián Rojas Rincón |
| collection | DOAJ |
| description | The implementation of the telework model has become popular globally due to the COVID-19 pandemic. However, this new model of work organization generates conflicting opinions regarding the positive and negative effects that its implementation can bring to organizations. In this study, sentiment analysis of Twitter-based teleworking in a post-pandemic COVID-19 context was conducted. A set of Twitter conversations is examined by applying text mining and opinion analysis techniques. The results show the prevalence of positive sentiments regarding telework. In addition, opinions are generally associated with confidence, anticipation, and joy. According to the results, it is recommended to consider telework as an opportunity to improve worker well-being. However, it is important to consider some factors, such as the sector to which the company belongs, the characteristics of the job, and the working conditions. |
| first_indexed | 2024-03-09T16:27:41Z |
| format | Article |
| id | doaj.art-a48521324bc44724888d5edf72930d91 |
| institution | Directory Open Access Journal |
| issn | 2076-0760 |
| language | English |
| last_indexed | 2024-03-09T16:27:41Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Social Sciences |
| spelling | doaj.art-a48521324bc44724888d5edf72930d912023-11-24T15:06:27ZengMDPI AGSocial Sciences2076-07602023-11-01121162310.3390/socsci12110623Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 ContextJoan Sebastián Rojas Rincón0Andrés Ricardo Riveros Tarazona1Andrés Mauricio Mejía Martínez2Julio César Acosta-Prado3School of Administrative, Accounting, Economic and Business Sciences, Universidad Nacional Abierta y a Distancia—UNAD, Bogotá 111511, ColombiaSchool of Administrative, Accounting, Economic and Business Sciences, Universidad Nacional Abierta y a Distancia—UNAD, Bogotá 111511, ColombiaSchool of Administrative, Accounting, Economic and Business Sciences, Universidad Nacional Abierta y a Distancia—UNAD, Bogotá 111511, ColombiaDepartment of Engineering, Pontificia Universidad Católica de Peru, San Miguel, Lima 15088, PeruThe implementation of the telework model has become popular globally due to the COVID-19 pandemic. However, this new model of work organization generates conflicting opinions regarding the positive and negative effects that its implementation can bring to organizations. In this study, sentiment analysis of Twitter-based teleworking in a post-pandemic COVID-19 context was conducted. A set of Twitter conversations is examined by applying text mining and opinion analysis techniques. The results show the prevalence of positive sentiments regarding telework. In addition, opinions are generally associated with confidence, anticipation, and joy. According to the results, it is recommended to consider telework as an opportunity to improve worker well-being. However, it is important to consider some factors, such as the sector to which the company belongs, the characteristics of the job, and the working conditions.https://www.mdpi.com/2076-0760/12/11/623sentiment analysisTwitterteleworkingpost-pandemic COVID-19text mining |
| spellingShingle | Joan Sebastián Rojas Rincón Andrés Ricardo Riveros Tarazona Andrés Mauricio Mejía Martínez Julio César Acosta-Prado Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 Context Social Sciences sentiment analysis teleworking post-pandemic COVID-19 text mining |
| title | Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 Context |
| title_full | Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 Context |
| title_fullStr | Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 Context |
| title_full_unstemmed | Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 Context |
| title_short | Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 Context |
| title_sort | sentiment analysis on twitter based teleworking in a post pandemic covid 19 context |
| topic | sentiment analysis teleworking post-pandemic COVID-19 text mining |
| url | https://www.mdpi.com/2076-0760/12/11/623 |
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