Polarity of opinions about a public person in Ecuador

  • Boris Herrera Facultad de Ingeniería Ciencias Físicas y Matemática de la Universidad Central del Ecuador
Keywords: Natural language processing, opinion mining, sentiment analysis, human language technologies, rating of opinions

Abstract

The present investigation is the study of opinion miningtechniques, focused on obtaining information from a public figurein Ecuador, determining signs of polarity for your management ina positive, negative or neutral way, a result that will allow saidcharacter public to make decisions about their actions based on animage of service to the community. The extraction of opinions insocial networks and techniques based on Human LanguageTechnologies enabled the interpretation of polarized data byspecifying parameters of relevance to the resulting opinion focusedon decision making, processing that adapts to the newcommunication formats achieving the interpretation andassessment of opinion. Social networks was the platform for thecapture of texts by means of an API, which after the processing ofthe natural language obtained results of indications of thepopularity of the character.

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Author Biography

Boris Herrera, Facultad de Ingeniería Ciencias Físicas y Matemática de la Universidad Central del Ecuador

 

 

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Cover Vol 5, No-2 (2018)
Published
2018-12-19
How to Cite
[1]
B. Herrera, “Polarity of opinions about a public person in Ecuador”, LAJC, vol. 5, no. 2, pp. 27 - 32, Dec. 2018.
Issue
Vol 5 No 2 (2018)
Section
Research Articles for the Regular Issue

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