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Venezuela protest - geocoding

Venezuela protest - geocoding. Argentina protest - geocoding. Mexico protest. Boston Marathon Bombing – within USA. 14:49 – 15:49. 15:49 – 16:49. 16:49 – 17:49. 17:49 – 18:49. Boston Marathon Bombing – all the world. 14:49 – 15:49. 15:49 – 16:49. 16:49 – 17:49. 17:49 – 18:49.

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Venezuela protest - geocoding

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  1. Venezuela protest - geocoding

  2. Argentina protest - geocoding

  3. Mexico protest

  4. Boston Marathon Bombing – within USA 14:49 – 15:49 15:49 – 16:49 16:49 – 17:49 17:49 – 18:49

  5. Boston Marathon Bombing – all the world 14:49 – 15:49 15:49 – 16:49 16:49 – 17:49 17:49 – 18:49

  6. Boston Marathon Bombing

  7. Conclusion • We developed an web application which integrate sentiment analysis, geocoding, influential user and region of interest to analyze the evolution of civil unrest. • We showed people’s attitudes toward a given civil unrest. In general most civil unrest protest are negative while election protest are neutral.

  8. Conclusion • We developed an algorithm for geocoding, which can not only extract geo information in tweets, but also predict locations for those tweets without geo information. • We found that civil unrest related influence distribution may follow normal distribution instead of power law distribution. • We found that the region of interest increased as time went by in Boston Bomb.

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