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TwitterMonitor: Trend Detection over the Twitter Stream

机译:TwitterMonitor:Twitter流的趋势检测

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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. We discuss the motivation for trend detection over social media streams and the challenges that lie therein. We then describe our approach to trend detection, as well as the architecture of TwitterMonitor. Finally, we lay out our demonstration scenario.
机译:我们呈现TwitterMonitor,一个在Twitter流中执行趋势检测的系统。该系统实时识别Twitter上的新出现主题(即“趋势”),并提供有意义的分析,该分析合成每个主题的准确描述。用户通过使用不同标准订购所识别的趋势并为每个趋势提交自己的描述来与系统进行交互。我们讨论了社交媒体流趋势检测的动机以及在其中撒谎的挑战。然后,我们描述了我们趋势检测的方法,以及TwitterMonitor的体系结构。最后,我们铺设了我们的示范情景。

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