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

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.