Teletrabajo en Twitter: Análisis mediante Deep Learning

Gutierrez-Lythgoe, Antonio (2023): Teletrabajo en Twitter: Análisis mediante Deep Learning.

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.

• Item Type: MPRA Paper
• English Title: Teleworking on Twitter: Analysis using Deep Learning
• Language: Spanish
• Keywords: Artificial Intelligence, Sentiment analysis, Big Data, remote working, telework
• Subjects: C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C88 - Other Computer Software; D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search ; Learning ; Information and Knowledge ; Communication ; Belief ; Unawareness; J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J22 - Time Allocation and Labor Supply; J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J23 - Labor Demand

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