Social networking services such as Twitter creates content reflecting a series of talks that appear in the real worldEvents. Twitter is a social networking site that provides service to a large number of users to communicate with each other at same time. That is asymmetrical relationship between friends and followers that provide dramatic structure of interest between Twitter users. A series of Twitter messages called tweets, which are limited to 140 characters, and thus are usually much focused. The basic process is the capture of Twitter tweets that extract most discussed topic in between users. Tweet this Dataset can be processed using standard natural language processing to search for trending stories. Common stories and erosion areso brick is extracting and summarizing information gathered from social networking services. There is the fact of Ways to find common stories that improve the quality of the result. This article proposes an application to detect themes of tendencies of the data that the BNgram Twitter disclosure rules use.