dc.contributor.author	Cummins, John	en
dc.contributor.author	Ciambrone, Andrew	en
dc.contributor.author	Haile, Beakal	en
dc.contributor.author	Quinn, Liu	en
dc.date.accessioned	2015-06-29T17:54:48Z	en
dc.date.available	2015-06-29T17:54:48Z	en
dc.date.issued	2015-05-14	en
dc.identifier.uri	http://hdl.handle.net/10919/53836	en
dc.description	There 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.abstract	The 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.sponsorship	Mohamed 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.iso	en_US	en
dc.rights	Creative Commons Attribution-NonCommercial 3.0 United States	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc/3.0/us/	en
dc.subject	new event detection	en
dc.subject	natural language processing	en
dc.subject	topic detection and tracking	en
dc.subject	cs 4624	en
dc.subject	IDEAL	en
dc.title	New Event Detection	en
dc.type	Presentation	en
dc.type	Software	en
dc.type	Technical report	en

New Event Detection

Files in this item

This item appears in the following Collection(s)