Comparative Study on Text Classification Ways and Means

Content Classification is the way toward sorting out content reports into pre-characterized classifications as indicated by the document content. All the more expressly, given an arrangement of illustration reports for every class, we need to consequently take in the attributes of every classification, or take in a model of every classification, which we can then apply to dole out classes to another (unlabeled) documents. Content order has numerous applications, in different fields and for different sorts of information. Numerous issues identified with information stockpiling, administration and recovery can be defined as far as content order. The most widely recognized case of content arrangement is that of sorting out news as indicated by their theme, e.g. into Sports, Politics, Economics or ordering extensive Web record accumulations into Web registries for less demanding perusing and recovery, e.g. the Yahoo Directory. In this paper we will provide the comparative study of different methods meant for text categorization. This work will make help to improve the performance of existing text classification methods