SVM based classifier for Blogs
K.A. Subramanian · 2009
In this project a classifier is developed that can classify a blog into different categories based on the topics that author frequently writes about. Treating each blog as a document and each topic category as a class, a SVM based multi-class classifier is developed. The impact of feature selection has been studied by using different methods to generate the feature vector from the documents.