Classification of Questions in Micro-blogging Environment Using Support Vector Machine

摘要: Micro-blogging has attracted a growing body of scholarships, because its popularization. While the use blogs spread to variety contexts, such as academic research, business and education studies suggest that prototypical medium for personal publishing by private non-professionals still dominates over other scenario. Recently it been well  used communication tool between student instructor with students. It can be effectively used educational purposes. The main objective is focus on how micro-blogging academically, analyze micro blogging in context learning. mainly focuses text categorization two types question asked student’s namely relevant irrelevant questions. This paper performs effective classification through Support Vector Machines (SVM), Stop words Removal, Cosine Similarity Modelling. In addition above techniques results performance analysis shows using personalization together leads better accuracy rather than alone.