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Text messaging / Twitter / Websites / Technology / Predictive analytics / World Wide Web / Real-time web / Social media


Predicting Crime Using Twitter and Kernel Density Estimation Matthew S. Gerbera,∗ a Department of Systems and Information Engineering, University of Virginia, P.O. Box
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Document Date: 2014-03-13 11:59:39


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City

Chicago Data Portal / Charlottesville / Chicago / /

Company

Twitter / /

Country

United States / /

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Facility

University of Virginia / /

IndustryTerm

social media / data collection software / crime prediction tool / statistical language processing techniques / data portal / message shortening devices / text processing tools / decision support systems / online adults / social-media-based predictive modeling / social-media-based crime prediction / automatic text processing pipeline / statistical language processing / social media landscape / /

MarketIndex

set 25 / /

Organization

University of Virginia / Department of Systems and Information Engineering / Chicago Police Department / /

Person

Matthew S. Gerbera / /

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Position

PUBLIC OFFICER / analyst / officer / /

ProvinceOrState

Virginia / Illinois / /

SportsEvent

Super Bowl / /

Technology

GPS / decision support system / /

SocialTag