Crime-Related Events Identification Based on Text Analytics Approach

Crime-Related Events Identification Based on Text Analytics Approach

EnglishHardbackPrint on demand
Mamyrbayev, Orken
Taylor & Francis Ltd
EAN: 9781032957890
Print on demand
Delivery on Friday, 26. of June 2026
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Detailed information

As modern society is extremely dependent on the Internet, social networks, and developing technologies, a threat to the security of both the individual and society as a whole has emerged. The openness and global nature of the Internet create opportunities both for criminals, who can use the available information for criminal purposes, and for law enforcement officials. Police officers, in turn, can deal with the preventive processing of data from the Internet in order to prevent crimes. This type of data analysis can detect illegal or criminal actions even at the stage of their formation. Crime-Related Events Identification Based on Text Analytics Approach describes the possibilities of extracting crime-related facts from semi-structured information from various Internet sources so that crime can be combatted. This book is aimed at police officers and IT professionals working in online investigations.

EAN 9781032957890
ISBN 1032957891
Binding Hardback
Publisher Taylor & Francis Ltd
Publication date June 5, 2025
Pages 130
Language English
Dimensions 246 x 174
Country United Kingdom
Authors Khairova, Nina; Mamyrbayev, Orken; Wojcik, Waldemar
Illustrations 26 Tables, black and white; 32 Line drawings, black and white; 5 Halftones, black and white; 37 Illustrations, black and white
Manufacturer information
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