Renz Carlyle S. Bernados, Joshua O. Ty, Angie M. Ceniza
With the prevailing presence of social media, we cannot deny the fact that it influences the life of people. Usually teenagers tend to use this technology either to socialize or entertain themselves. In this paper, we have presented a framework to perform a qualitative analysis of social media networking sites using their social media reviews. The researchers gathered 503 links from Facebook, Twitter, Instagram and other related articles using web content mining. And, induction method was used to restrict and classify the harvested data. Researchers makes use of Word2Vec model that would find the similarity of one word to another. The experimental results show 81.39% precision, 67% accuracy, 70.93% recall and 75.58% F-Measure. © 2019 Institute of Physics Publishing. All rights reserved.
Department of Computer and Information Sciences, School of Arts and Sciences, University of San Carlos, Cebu City, Philippines
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