A FRAMEWORK FOR MINING OF TEXT DATA WITH THE APPLICATION OF SIDE INFORMATION

Now a days data is not purely available in text form.It also contains a lot of side information ,which may be of different kinds,such as web logs which tells about the user access behavior,links in the document and some non - textual attributes hidden in the text document.This type of document contains the information about the clustering process.But sometime the information is noisy,so it becomes risky to involve side information into the clustering process because it may add noise to the process or may improve the quality of clustering process. So to increase the advantages of using side information we need a principle way to perform clustering process.In this paper,w e design an algorithm which increases the efficiency of using side information and to decrease