Popularity Based Text Mining Technique for Classification
Social networks allow users to communicate with people exhibiting different moral and social values. The websites provide a very powerful medium for communication among individuals that leads to mutual learning and sharing of valuable knowledge. The activity of these website have ranking according to the interest of the users. The proposed algorithm is used to rank the topic on the basis of attributes of the topic. The dissertation modifies the J48 classification algorithm. The J48 algorithm classify the instances on the basis of their entropy i.e. information gain in to various classes; while the target of regression algorithm is to get a numeric value.