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Identifying Touristic Interest Using Big Data Techniques

  • Maritzol TenemazaEmail author
  • Loza-Aguirre Edison
  • Myriam Peñafiel
  • Zaldumbide Juan
  • Angelica de Antonio
  • Jaíme Ramirez
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 965)

Abstract

The objective of this paper is to identify the most visited places through a sentiment analysis of the tweets posted by people who visited a specific region of a city. The analyzed data were related to preferences and opinions about tourist places. This paper outlines an architectural framework and a methodology to collect and analysis big data from twitter platform.

Keywords

Big data User’s interest Sentiment analysis Harvesting 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Maritzol Tenemaza
    • 1
    • 2
    Email author
  • Loza-Aguirre Edison
    • 1
  • Myriam Peñafiel
    • 1
    • 2
  • Zaldumbide Juan
    • 1
    • 2
  • Angelica de Antonio
    • 2
  • Jaíme Ramirez
    • 2
  1. 1.Departamento de Informática y ComputaciónEscuela Politécnica NacionalQuitoEcuador
  2. 2.Laboratorio ETSIUniversidad Politécnica de MadridMadridSpain

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