Future Tendency Anticipation for Users in Blogging

Blogs has now become the world-wide mass media in which anyone share information, ideas and knowledge. The main purpose of blog writing is to connect the blogger to the readers. In this article we are classifying 100 instances of blogging using different algorithms by using weka. We have used different algorithms which are weak learner also known as Decision stump, along with the other algorithm such as Random Forest, Logistic, Logitboost, SMO, including simple Bayes and independence Bayes. For balancing the dataset, we used ensembling blogger [15]. Through this ensembling technique, the dataset is ensembled and enhanced algorithm is used. The final result of optimized algorithms shows that we have achieved better results than other methods.