Analysis of the impact of social networking sites using web content mining and induction method

International Conference on Information Technology and Digital Applications 2018

计算机科学;无线电电子学

Bernados, Renz Carlyle S.^1 ; Ty, Joshua O.^1 ; Ceniza, Angie M.^1

Department of Computer and Information Sciences, School of Arts and Sciences, University of San Carlos, Cebu City, Philippines^1

关键词: F measure;    Facebook;    Induction method;    Qualitative analysis;    Social media;    Social networking sites;    Web content mining;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/482/1/012017/pdf
DOI  :  10.1088/1757-899X/482/1/012017

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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.