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Peruvian Citizens Reaction to Reactiva Perú Program: A Twitter Sentiment Analysis Approach

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Information Management and Big Data (SIMBig 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1410))

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Abstract

The internet is part of people’s daily lives, and social networking sites (SNSs) may provide insights into how people perceive government actions. The present case study contributes to the debate concerning SNSs as an alternative communication tool between citizens and politicians in terms of information about the policies that rule citizens’ lives. To reach this goal, we explored the role of Twitter sentiment analysis as a means of monitoring reactions to Reactiva Perú, a program implemented by the Peruvian Government in response to the COVID-19 economic crisis. The findings suggest that SNSs may become an alternative source of information for policymakers to capture citizens’ reactions to implemented policies. Implications and possible strategies are discussed at an empirical level.

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Notes

  1. 1.

    https://github.com/Jefferson-Henrique/GetOldTweets-python

  2. 2.

    https://www.nltk.org/book/.

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Authors and Affiliations

  1. Centre for Interdisciplinary Science and Society Studies – CIICS, Universidad de Ciencias y Humanidades, Lima, Peru

    Rosmery Ramos-Sandoval

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  1. Rosmery Ramos-Sandoval
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Correspondence to Rosmery Ramos-Sandoval .

Editor information

Editors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Juan Antonio Lossio-Ventura

  2. Visibilia, São Paulo, Brazil

    Jorge Carlos Valverde-Rebaza

  3. University of Valencia, Valencia, Spain

    Eduardo Díaz

  4. Universidad del Pacífico, Lima, Peru

    Hugo Alatrista-Salas

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Ramos-Sandoval, R. (2021). Peruvian Citizens Reaction to Reactiva Perú Program: A Twitter Sentiment Analysis Approach. In: Lossio-Ventura, J.A., Valverde-Rebaza, J.C., Díaz, E., Alatrista-Salas, H. (eds) Information Management and Big Data. SIMBig 2020. Communications in Computer and Information Science, vol 1410. Springer, Cham. https://doi.org/10.1007/978-3-030-76228-5_2

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  • DOI: https://doi.org/10.1007/978-3-030-76228-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-76227-8

  • Online ISBN: 978-3-030-76228-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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