Analytics applied to the study of reputational risk through the analysis of social networks (Twitter) for the El Dorado airport in the city of Bogotá (Colombia)

Luis Gabriel Moreno Sandoval, Liliana María Pantoja Rojas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Within a society increasingly technological and immersed in the different possibilities offered by the Internet as a channel of interaction and communication, there is a need for private and state entities to explore the information contained in social networks, an opportunity that implies new challenges associated with emerging risks such as reputational. For this reason, through the study of social networks, reputational risk and computational linguistics, an analysis of the strategic accounts of the El Dorado Airport of the city of Bogotá (Colombia) on Twitter (@bog_eldorado) is carried out, taking into account the mentions and most relevant hashtags, to identify the polarity through of BoW (Bag of Words) of your comments and infer the user experience, customer satisfaction and how this influences reputational risk.

Original languageEnglish
Title of host publicationICEIS 2019 - Proceedings of the 21st International Conference on Enterprise Information Systems
EditorsMichal Smialek, Alexander Brodsky, Joaquim Filipe, Slimane Hammoudi
PublisherSciTePress
Pages476-483
Number of pages8
ISBN (Electronic)9789897583728
StatePublished - 2019
Event21st International Conference on Enterprise Information Systems, ICEIS 2019 - Heraklion, Crete, Greece
Duration: 03 May 201905 May 2019

Publication series

NameICEIS 2019 - Proceedings of the 21st International Conference on Enterprise Information Systems
Volume1

Conference

Conference21st International Conference on Enterprise Information Systems, ICEIS 2019
Country/TerritoryGreece
CityHeraklion, Crete
Period03/05/1905/05/19

Keywords

  • Computational linguistic
  • Polarity
  • Reputational risk
  • Social network
  • Twitter

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