Crime-Related Events Identification Based on Text Analytics Approach
eBook - ePub

Crime-Related Events Identification Based on Text Analytics Approach

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Crime-Related Events Identification Based on Text Analytics Approach

About this book

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.

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Yes, you can access Crime-Related Events Identification Based on Text Analytics Approach by Orken Mamyrbayev,Nina Khairova,Waldemar Wójcik in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. About the authors
  8. 1 Introduction
  9. 2 Major challenges of searching for crime-related information in a text
  10. 3 Existing problems of knowledge extraction from semi-structured and unstructured text
  11. 4 Concept of information extraction from text
  12. 5 Relationship between the linguistic formalisms of web content texts and the real essence of the socially significant event
  13. 6 Logical-linguistic model of fact extraction from a text corpus
  14. 7 The identification of crime-related information in the Kazakh-language text corpora
  15. 8 The Kazakh-Russian parallel corpus of criminal texts
  16. 9 Parallel corpus-based approach to crime event extraction
  17. 10 Conclusion
  18. References
  19. Appendices
  20. Index