On-Line New Event Detection Using Minimal New Sets

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/248911
Download file(s):
File Description SizeFormat 
248911.pdfFulltext514.43 kBAdobe PDFView/Open
Type: Examensarbete för masterexamen
Master Thesis
Title: On-Line New Event Detection Using Minimal New Sets
Authors: Gudjonsson, Örn
Abstract: On-line New Event Detection can be used to monitor multiple news streams and determine when a new newsworthy event that might warrant further attention occurs, thus helping the user not to miss important information while helping him sift through the vast amount of information available. In this thesis we explore a novel approach for On-line New Event Detection based on computing minimal new sets of small sizes from new stream documents with regard to previously seen documents. We present an algorithm that outputs sets of words likely to be indicative of new events which users easily can browse through and detail several different approaches to select the sets most likely to be informative of new events. In addition we examine the practicality of our approaches and compare them to the most prominent current techniques.
Keywords: Data- och informationsvetenskap;Computer and Information Science
Issue Date: 2016
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
URI: https://hdl.handle.net/20.500.12380/248911
Collection:Examensarbeten för masterexamen // Master Theses



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.