APPLICATION OF SOCIAL COMPUTING ANALYSIS VIA ATTITUDES OF MEDIA USERS

Turhan CİVELEK

Makale detayları

APPLICATION OF SOCIAL COMPUTING ANALYSIS VIA ATTITUDES OF MEDIA USERS

Yazarlar:

Turhan CİVELEK

Yayıncı:

Kirklareli University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Kirklareli University Journal of Engineering and Science 2016 Vol.2 Issue 1, pp.1-12

Belge Tipi:

Makale

Yayın Tarihi:

6/2016

Belge Dili:

İngilizce

Document ID (Org No.):

2000526113

Sıklık:

İki Yıllık

eISSN:

2458-7613

pISSN:

2458-7494

Özet:

 


Analyzing and modeling of social platforms and media data are rather developed and still developing today. Social behaviors are analyzed and characterized with social and artificial intelligence, statistical methods, analytical approaches and evolutionary algorithms. Data mining and machine learning are used in the social computing. In this study, social computing included, two surveys used a questionnaire with 43 different questions handed over in random sample to 537 different high school students in Istanbul. Social media attitudes of students were evaluated using J48 algorithm. According to J48 algorithm, which constitutes machine learning, learning took place for 14 questions out of 43. The analysis produced a Kappa Statistic (K) value of 0.446 and F-Measure of 0.701. A decision tree was created to support decision-making.

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Makale detayları

APPLICATION OF SOCIAL COMPUTING ANALYSIS VIA ATTITUDES OF MEDIA USERS

Yazarlar: Turhan CİVELEK

Yayıncı: Kirklareli University

Ana Başlıklar: Uygulamalı fizik

Dergi: Kirklareli University Journal of Engineering and Science 2016 Vol.2 Issue 1, pp.1-12

Belge Tipi: Makale

Yayın Tarihi: 6/2016

Belge Dili: İngilizce

Document ID (Org No.): 2000526113

Sıklık: İki Yıllık

eISSN: 2458-7613

pISSN: 2458-7494

Sayı

Yazarlar:

Turhan CİVELEK

Yayıncı:

Kirklareli University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Kirklareli University Journal of Engineering and Science 2016 Vol.2 Issue 1, pp.1-12

Belge Tipi:

Makale

Yayın Tarihi:

6/2016

Belge Dili:

İngilizce

Document ID (Org No.):

2000526113

Sıklık:

İki Yıllık

eISSN:

2458-7613

pISSN:

2458-7494