Please use this identifier to cite or link to this item:
|Title:||Desktop Text Mining for Law Enforcement|
|Authors:||CRAWLEY JONATHAN; WAGNER Gerhard|
|Citation:||Intelligence and Security Informatics (ISI), 2010 IEEE International Conference on - ISBN 978-1-4244-6444-9 p. 138-140|
|Publisher:||IEEE - Institute of Electrical and Electronics Engineers|
|Type:||Articles in periodicals and books|
|Abstract:||This paper presents a software system supporting analysts in the domain of open source intelligence. The desktop application contains functions to extract information acquired from open sources. The text mining engine combines finite state machines, rule based entity guessing and machine learning in a lightweight pipelined approach. The text mining functions and the overall system design have been developed to be applicable in law enforcement settings. This paper focuses on the information extraction functions of the system.|
|JRC Institute:||Space, Security and Migration|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.