Abstract
This paper proposes a model for the identification of criminal events through the analysis of journalistic news implementing classification mechanism. The classification process is composed of three sub-process: Information Extraction, Classification process and a Selection process of the classes with the best scores obtained after the classification. To obtain the harmonic mean between recall and precision (F-Score) of this classification model, a criminological corpus called CAD was used to simulate different scenarios. CAD is a corpus in spanish composed of news reporting crimes about homicide, assaults, kidnapping, sexual abuse, and extortion, called High Impact Crimes according to [1].
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
To get a copy of corpus CAD send a mail to luismoreno@cenidet.edu.mx/ncastro@cenidet.edu.mx.
- 2.
- 3.
- 4.
- 5.
- 6.
Master Students.
- 7.
- 8.
- 9.
References
Observatorio Nacional Ciudadano Seguridad, Justicia y Legalidad: Reporte sobre delitos de alto impacto Junio 2016. Reporte Año 3, No. 5, México (2016)
Kumar, A.S., Gopal, R.K.: Data mining based crime investigation systems: taxonomy and relevance. In: 2015 Global Conference on Communication Technologies (GCCT), pp. 850–853. IEEE (2015)
Ku, C.H., Iriberri, A., Leroy, G.: Crime information extraction from police and witness narrative reports. In: International Conference on Technologies for Homeland Security, pp. 193–198. IEEE (2008)
Nath, S.V.: Crime data mining. In: Elleithy, K. (ed.) Advances and Innovations in Systems, Computing Sciences and Software Engineering, pp. 405–409. Springer, Dordrecht (2007). https://doi.org/10.1007/978-1-4020-6264-3_70
Ku, C.H., Leroy, G.: A decision support system: automated crime report analysis and classification for e-government. Gov. Inf. Q. 31, 534–544 (2014)
Dahbur, K., Muscarello, T.: Classification system for serial criminal patterns. Artif. Intell. Law 11, 251–269 (2003)
Chau, M., Xu, J.J., Chen, H.: Extracting meaningful entities from police narrative reports. In: Proceedings of the 2002 Annual National Conference on Digital Government Research, Digital Government Society of North America, pp. 1–5 (2002)
Lee, S., Kim, H.J.: News keyword extraction for topic tracking. In: Fourth International Conference on Networked Computing and Advanced Information Management, NCM 2008, vol. 2, pp. 554–559. IEEE (2008)
Pinheiro, V., Furtado, V., Pequeno, T., Nogueira, D.: Natural language processing based on semantic inferentialism for extracting crime information from text. In: International Conference on Intelligence and Security Informatics ISI, pp. 19–24. IEEE (2010)
Estivill-Castro, V., Lee, I.: Data mining techniques for autonomous exploration of large volumes of geo-referenced crime data. In: Proceedings of the 6th International Conference on Geocomputation, pp. 24–26 (2001)
Chen, H., Chung, W., Xu, J.J., Wang, G., Qin, Y., Chau, M.: Crime data mining: a general framework and some examples. Computer 37, 50–56 (2004)
Moreno Jiménez, L.G., et al.: Creación y clasificación de un corpus criminológico en español usando características lingüísticas superficiales. Research in Computing Science (2016, accepted)
Associated Press: 2016 AP Stylebook. Spiral-Bound (2016)
Torres-Moreno, J.M.: Automatic Text Summarization. Wiley, Hoboken (2014)
Acknowledgments
This work was supported by Mexican Government (Tecnológico Nacional de México/CENIDET, Red Temática en Tecnologías del Lenguaje-Conacyt, Conacyt scholarship 661101) and French Government (Université d’ Avignon et des Pays de Vaucluse/Laboratoire Informatique d’ Avignon).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Moreno-Jiménez, LG., Torres-Moreno, JM., Castro-Sánchez, N.A., Nava-Zea, A., Sierra, G. (2018). Criminal Events Detection in News Stories Using Intuitive Classification. In: Castro, F., Miranda-Jiménez, S., González-Mendoza, M. (eds) Advances in Computational Intelligence. MICAI 2017. Lecture Notes in Computer Science(), vol 10633. Springer, Cham. https://doi.org/10.1007/978-3-030-02840-4_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-02840-4_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-02839-8
Online ISBN: 978-3-030-02840-4
eBook Packages: Computer ScienceComputer Science (R0)