What do students say about their universities? Generation of ontologies from users posts content in social networks

Angel Fiallos, Xavier Ochoa

Research output: Contribution to journalArticle

Abstract

This work presents a methodology to generate ontologies from posts in social networks, through datamining, machine learning, and natural language processing techniques. The study analyzes students’ discourses on Facebook, Instagram and Twitter networks that refer to five Ecuadorian universities, and the ontologies generated from the most relevant concepts present in their posts related to students behaviors and university life. The results obtained suggest that the methodology can be used to provide information from unstructured data, and can also be used in analysis, understanding, and decision-making, as well as for the use of other applications in different fields.

Original languageEnglish (US)
Pages (from-to)327-339
Number of pages13
JournalRISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Volume2019
Issue numberE23
StatePublished - Oct 2019

Keywords

  • Data mining
  • Natural language processing
  • Ontologies
  • Social networks

ASJC Scopus subject areas

  • Computer Science(all)

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