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We present TwitterMonitor, a system that performs trend detection over the Twitter stream. The system identifies emerging topics (i.e. 'trends') on Twitter in real time and provides meaningful analytics that synthesize an accurate description of each topic. Users interact with the system by ordering the identified trends using different criteria and submitting their own description for each trend.
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Mathioudakis et al. (Sun,) studied this question.
synapsesocial.com/papers/6a1107286f378c85fcf32e73 — DOI: https://doi.org/10.1145/1807167.1807306
Michael Mathioudakis
Université Claude Bernard Lyon 1
Nick Koudas
AT&T (United States)
University of Toronto
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