Indian Journal of Science and Technology
DOI: 10.17485/ijst/2015/v8i3/59570
Year: 2015, Volume: 8, Issue: 3, Pages: 237–246
Original Article
Farhad Soleimanian Gharehchopogh1*, Seyyed Reza Khaze2 and Isa Maleki3
1 Department of Computer Engineering, Hacettepe University, Beytepe, Ankara, Turkey; bonab.farhad@gmail.com
2 Young Researchers and Elite Club, Dehdasht Branch, Islamic Azad University, Dehdasht, Iran; khaze.reza@gmail.com
3 Young Researchers and Elite Club, Urmia Branch, Islamic Azad University, Urmia, Iran; maleki.misa@gmail.com
Blogs are one of the effective tools of web2 which are considered as one of the major module and of social and interactive capabilities in making IT world wonderful for the cyber and virtual living. Two methods were used in this paper: K-Nearest Neighbor (KNN) and Artificial Neural Networks (ANNs). These methods are classified based on Kohkiloye and Boyer Ahmad province bloggers dataset considering input features of each blogger to the other methods and previously provided algorithms as more optimal. Our simulation and experiments not only provide hopeful results but also higher anticipation and classification rate.
Keywords: Artificial Neural Networks, Bloggers Classification, Decision Tree, K-Nearest Neighbor
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