Teletrabajo en Twitter: Análisis mediante Deep Learning

Teleworking on Twitter: Analysis using Deep Learning

Antonio Gutierrez-Lythgoe

MPRA Paper from University Library of Munich, Germany

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.

Keywords: Artificial Intelligence; Sentiment analysis; Big Data; remote working; telework (search for similar items in EconPapers)
JEL-codes: C88 D83 J22 J23 (search for similar items in EconPapers)
Date: 2023-04
New Economics Papers: this item is included in nep-big and nep-cmp
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:117101

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