Qureshi, M. AtifM. AtifQureshiArjumand, YounusYounusArjumandGreene, DerekDerekGreene2017-02-202017-02-202016 Sprin2016-09-23http://hdl.handle.net/10197/8367European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD ’16), Riva del Garda, 19-23 September 2016We present TwitterCracy, an exploratory search system that allows users to search and monitor across the Twitter streams of political entities. Its exploratory capabilities stem from the application of lightweight time-series based clustering together with biased PageRank to extract facets from tweets and presenting them in a manner that facilitates exploration.enThe final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-46131-1_16.Machine learningStatisticsTwitterCracy: Exploratory Monitoring of Twitter Streams for the 2016 U.S. Presidential Election CycleConference Publication10.1007/978-3-319-46131-1_162016-11-14https://creativecommons.org/licenses/by-nc-nd/3.0/ie/