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In this paper, we outline our experiments carried out at the TREC Microblog Track 2011. Our system is based on a plain text index extracted from Tweets crawled from twitter.com. This index has been used to retrieve candidate Tweets for the given topics. The resulting Tweets were post-processed and then analyzed using three different approaches: (i) a burst detection approach, (ii) a hashtag analysis, and (iii) a Retweet analysis. Our experiments consisted of four runs: Firstly, a combination ofdblp:conf/trec/HornPGL11 fatcat:5adevyjs6vec5g3pwueamzcdee