Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 Context

Joan Sebastián Rojas Rincón; Andrés Ricardo Riveros Tarazona; Andrés Mauricio Mejía Martínez; Julio César Acosta-Prado

doi:10.3390/socsci12110623

Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 Context

Joan Sebastián Rojas Rincón
, Andrés Ricardo Riveros Tarazona
, Andrés Mauricio Mejía Martínez
, Julio César Acosta-Prado

Sección de Ingeniería Industrial

Universidad Nacional Abierta y a Distancia

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

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.

Original language	English
Article number	623
Journal	Social Sciences
Volume	12
Issue number	11
DOIs	https://doi.org/10.3390/socsci12110623
State	Published - Nov 2023

Keywords

Twitter
post-pandemic COVID-19
sentiment analysis
teleworking
text mining

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10.3390/socsci12110623

Cite this

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title = "Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 Context",

abstract = "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.",

keywords = "Twitter, post-pandemic COVID-19, sentiment analysis, teleworking, text mining",

author = "\{Rojas Rinc{\'o}n\}, \{Joan Sebasti{\'a}n\} and \{Riveros Tarazona\}, \{Andr{\'e}s Ricardo\} and \{Mej{\'i}a Mart{\'i}nez\}, \{Andr{\'e}s Mauricio\} and Acosta-Prado, \{Julio C{\'e}sar\}",

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year = "2023",

month = nov,

doi = "10.3390/socsci12110623",

language = "English",

volume = "12",

journal = "Social Sciences",

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T1 - Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 Context

AU - Rojas Rincón, Joan Sebastián

AU - Riveros Tarazona, Andrés Ricardo

AU - Mejía Martínez, Andrés Mauricio

AU - Acosta-Prado, Julio César

PY - 2023/11

Y1 - 2023/11

N2 - 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.

AB - 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.

KW - Twitter

KW - post-pandemic COVID-19

KW - sentiment analysis

KW - teleworking

KW - text mining

UR - https://www.scopus.com/pages/publications/85177668075

U2 - 10.3390/socsci12110623

DO - 10.3390/socsci12110623

M3 - Article

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ER -

Sentiment Analysis on Twitter-Based Teleworking in a Post-Pandemic COVID-19 Context

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Keywords

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