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In this paper, we present a novel exploratory visual analytic system called TIARA (Text Insight via Automated Responsive Analytics), which combines text analytics and interactive visualization to help users explore and analyze large collections of text. Given a collection of documents, TIARA first uses topic analysis techniques to summarize the documents into a set of topics, each of which is represented by a set of keywords. In addition to extracting topics, TIARA derives time-sensitive
doi:10.1145/1835804.1835827
dblp:conf/kdd/WeiLSPZQSTZ10
fatcat:ahtbbaqv6ffg7kj46ob7prt3uq