Classification and Ranking of Questions in Microblog Supported Classroom

This paper gives brief idea about new approach towards E learning in Micro-blogging supported classroom. Micro-blogging is a technology used in social networking applications which can be used in classroom for the communication between student and teacher. Nowadays from research it is observed that it has numerous benefits. Its major advantage is that the number of questions asked is much more than that of questions asked in certain time period of lecture. It is beneficial for student to get there doubts cleared not only in classroom but also outside. But it can happen that questions not related to particular topic can furthermore be raised. To overcome such a problem, questions should be classified as relevant and irrelevant questions using classification technique and classified question should get tagged on the basis of concept which is called as Concept Tagging. After classification question should be ranked using ranking techniques. Keywords— Concept Tagging, IDF, Machine Learning, Microblogging, SVMLight, Support Vector Machine (SVM), Ranking. TF