Semantic Text Analysis To Determine The Positive Index Of The Ufpso Systems Engineering Program

This research presents a semantic analysis of text, based on the Systems Engineering program at the Universidad Francisco de Paula Santander Ocaña, with the purpose of knowing the index of positive mentions of the messages offered on the web page of the university and the respective program, and tha...

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Bibliographic Details
Published in:Webology 2022-01, Vol.19 (6), p.477-487
Main Authors: Castrillón, Sir-Alexci Suárez, Gómez-Camperos, July A, Jaramillo, Haidee Y
Format: Article
Language:English
Subjects:
Bullying
Computer science
Coronaviruses
COVID-19
Education
Information society
Keywords
Knowledge management
Medical research
Pandemics
Semantic analysis
Semantics
Sentiment analysis
Software engineering
Systems engineering
Text analysis
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Summary:This research presents a semantic analysis of text, based on the Systems Engineering program at the Universidad Francisco de Paula Santander Ocaña, with the purpose of knowing the index of positive mentions of the messages offered on the web page of the university and the respective program, and that due to online enrollment become the reference information for applicants to enter the program. Five factors were measured: Mission, Vision, Objectives, Professional Profile and Occupational Profile; obtaining a positive index between 55% and 65% in the previous factors. Wolfram software and the semantic text package were used to extract information, create tokens and classify the data.
ISSN:1735-188X