Abstract
This paper presents algorithms for summarizing microblog posts. In particular, our algorithms process collections of short posts on specific topics on the well-known site called Twitter and create short summaries from these collections of posts on a specific topic. The goal is to produce summaries that are similar to what a human would produce for the same collection of posts on a specific topic. We evaluate the summaries produced by the summarizing algorithms, compare them with human-produced summaries and obtain excellent results.
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