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Sensing Microblog from retrieval and summarization become the challenging area for the Information retrieval community. Twitter is one of the most popular micro blogging platforms. In this paper, Twitter posts called tweets are studied from retrieval and extractive summarization perspectives. Given a set of topics or interest profiles or information requirement, a Microblog summarization system is desinged which process Twitter sample status stream and generate day-wise, topic-wise tweetdblp:conf/fire/Modha17 fatcat:xolemzgx2fdc3oggvkzqrvcdqe