Fishing for information in the ocean of Twitter data

Authors

  • James Edward Humberstone Morales Universidad Francisco Gavidia

Keywords:

Text mining, tweet analysis, Twitter API, El Salvador.

Abstract

Social networks are portals that offer platforms where people freely share their opinions and emotions about the topic of interest that happen in a society. This research presents a procedure for fishing information from data ocean the social network Twitter. For this purpose, a sample of 1,000 user-generated tweets from San Salvador, El Salvador, about a media topic.

Reality and Reflection Year 18, No 47, January-June 2018; pp.47-57

Abstract
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PDF (Spanish)
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Author Biography

James Edward Humberstone Morales, Universidad Francisco Gavidia

Ingeniero en Ciencias de la Computación y Maestro en Informática Aplicada a Redes por la Universidad Francisco Gavidia. Docente de la Facultad de Ingeniería y Sistemas; así como de la Maestría 
Investigador del Laboratorio de Nanotecnología y Centro de Modelaje Matemático en la Universidad Francisco Gavidia

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Published

2018-06-30

How to Cite

Fishing for information in the ocean of Twitter data. (2018). Reality and Reflection, 47, 47-57. https://doi.org/10.5377/ryr.v0i47.6273

Issue

Section

Articles

How to Cite

Fishing for information in the ocean of Twitter data. (2018). Reality and Reflection, 47, 47-57. https://doi.org/10.5377/ryr.v0i47.6273