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"domain models" (i.e., Families of keywords and extractors to enable focus on tweets and other social media documents relevant to a project), to rapidly extract and segment the relevant social media and its authors, to apply further analytics (such as finding trends and anomalous terms), and visualizing the results
volunteers gain popularity and credibility, they become emerging leaders. This study proposes a method to detect emerging leaders on Twitter after a catastrophe. It consisted of collecting 4M of tweets using keywords related to Ecuador's earthquake on April 2016. Secondly, we quantifying relevant interactions in order to
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.