Crime-Related Events Identification Based on Text Analytics Approach

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AV22KHAID" target="_blank" >RIV/00216208:11320/26:V22KHAID - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1201/9781003587514" target="_blank" >http://dx.doi.org/10.1201/9781003587514</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1201/9781003587514" target="_blank" >10.1201/9781003587514</a>

Result language
angličtina
Original language name
Crime-Related Events Identification Based on Text Analytics Approach
Original language description
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. © 2025 Orken Mamyrbayev, Nina Khairova and Waldemar Wójcik.
Czech name
—
Czech description
—

Type
B - Specialist book
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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