A multilevel approach for generating report based on information filtering

The data mining techniques in which topic modelling have been increasingly adopted by several experts from various domains. This text mining system interacts with various systems and services from all over the world. The content based topic modelling in which it interacts with the user to get the desired topic according to the users interest. The information filtering method to remove unwanted information from the text document accordingly by the users need. But the number of patterns in some of the topic can be large and many of the patterns are not enough to find the specific topic. Therefore the content based topic modelling is said to be proposed for document representation and document relevance is identified. The pattern based topic representation in which the patterns are organized into groups called equivalence classes, based on therir similar meaning. The most representative patterns can be identified which will benefit the filtering of relevant document.