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Teletrabajo en Twitter: Análisis mediante Deep Learning
[Teleworking on Twitter: Analysis using Deep Learning]

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  • Gutierrez-Lythgoe, Antonio

Abstract

In this article we analyse Twitter users’ perceptions on remote working. To do so, we use artificial intelligence techniques of natural language processing. Specifically, we run a Sentiment Analysis and Latent Dirichlet Allocation (LDA) on a sample of 12,986 tweets related to remote working published in Spanish. Our results show that 21.2% of the tweets present a positive sentiment, 43.5% a negative sentiment and 35.3% a neutral connotation. This article contributes to the application of Machine learning and Deep learning techniques in the study of social sciences.

Suggested Citation

  • Gutierrez-Lythgoe, Antonio, 2023. "Teletrabajo en Twitter: Análisis mediante Deep Learning [Teleworking on Twitter: Analysis using Deep Learning]," MPRA Paper 117101, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:117101
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    References listed on IDEAS

    as
    1. Barrero, Jose Maria & Bloom, Nick & Davis, Steven J., 2020. "Why Working From Home Will Stick," SocArXiv wfdbe, Center for Open Science.
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    4. Nicholas Bloom & James Liang & John Roberts & Zhichun Jenny Ying, 2015. "Does Working from Home Work? Evidence from a Chinese Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(1), pages 165-218.
    5. Ozbilen, Basar & Wang, Kailai & Akar, Gulsah, 2021. "Revisiting the impacts of virtual mobility on travel behavior: An exploration of daily travel time expenditures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 49-62.
    6. Jose Ignacio Gimenez-Nadal & Jose Alberto Molina & Raquel Ortega, 2012. "Self-employed mothers and the work-family conflict," Applied Economics, Taylor & Francis Journals, vol. 44(17), pages 2133-2147, June.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Artificial Intelligence; Sentiment analysis; Big Data; remote working; telework;
    All these keywords.

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

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