Extracting Diurnal Patterns of Real World Activity from Social Media

  title={Extracting Diurnal Patterns of Real World Activity from Social Media},
  author={Nir Grinberg and Mor Naaman and Blake Shaw and Gilad Lotan},
In this study, we develop methods to identify verbal expressions in social media streams that refer to real-world activities. Using aggregate daily patterns of Foursquare checkins, our methods extract similar patterns from Twitter, extending the amount of available content while preserving high relevance. We devise and test several methods to extract such content, using timeseries and semantic similarity. Evaluating on key activity categories available from Foursquare (coffee, food, shopping… CONTINUE READING
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