Visual analysis of microblog content using time-varying co-occurrence highlighting in tag clouds

Abstract

The vast amount of contents posted to microblogging services each day offers a rich source of information for analytical tasks. The aggregated posts provide a broad sense of the informal conversations complementing other media. However, analyzing the textual content is challenging due to its large volume, heterogeneity, and time-dependence. In this paper… (More)
DOI: 10.1145/2254556.2254701

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