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dc.contributor.authorCummins, Johnen
dc.contributor.authorCiambrone, Andrewen
dc.contributor.authorHaile, Beakalen
dc.contributor.authorQuinn, Liuen
dc.date.accessioned2015-06-29T17:54:48Zen
dc.date.available2015-06-29T17:54:48Zen
dc.date.issued2015-05-14en
dc.identifier.urihttp://hdl.handle.net/10919/53836en
dc.descriptionThere are PDF and Word versions of the final report, and PDF and PowerPoint versions of the final presentation. A zip archive has the source code developed.en
dc.description.abstractThe purpose of this system is to be able to automatically detect when a new world event has occurred using RSS feeds of popular world news websites. This will aid social scientists in their analysis of world trends. This system is being designed specifically for integration with the the IDEAL (Integrated Digital Event Archiving and Library - http://www.eventsarchive.org/) project. The system is a collection of Python scripts each of which fulfills an objective outlined in greater detail in the final report, Section 3, System Architecture.en
dc.description.sponsorshipMohamed Magdy and the IDEAL (Integrated Digital Event Archiving and Library - http://www.eventsarchive.org/) project funded by the US National Science Foundation (IIS – 0916733 and 1319578)en
dc.language.isoen_USen
dc.rightsCreative Commons Attribution-NonCommercial 3.0 United Statesen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/us/en
dc.subjectnew event detectionen
dc.subjectnatural language processingen
dc.subjecttopic detection and trackingen
dc.subjectcs 4624en
dc.subjectIDEALen
dc.titleNew Event Detectionen
dc.typePresentationen
dc.typeSoftwareen
dc.typeTechnical reporten


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Creative Commons Attribution-NonCommercial 3.0 United States
License: Creative Commons Attribution-NonCommercial 3.0 United States