Crime alert! crime typification in news based on text mining

H. Alatrista-Salas; J. Morzán-Samamé; M. Nunez-del-Prado

doi:10.1007/978-3-030-12388-8_50

Crime alert! crime typification in news based on text mining

H. Alatrista-Salas, J. Morzán-Samamé, M. Nunez-del-Prado

Universidad del Pacífico

Research output: Chapter in Book/Report/Conference proceeding › Chapter

5 Scopus citations

Abstract

In this paper we detailed a multinomial classification-based methodology that combines different algorithms (SVM and MLP) with document representations (Tf Idf vectorization and Doc2vec embedding) and: (i) can distinguish between crime-related news and not-crime related news and; (ii) allows the assignment of each crime-related news to its corresponding crime type. With a F1-score of 84% achieved by the MLP with Doc2vec approach, it can be concluded that it is possible to answer the question of how the crimes are committed (what types of crime are perpetrated) and, in this way, offer a thermometer to citizens about criminal activity in a given territory, as reported by news articles.

Original language	English
Title of host publication	Lecture Notes in Networks and Systems
Subtitle of host publication	Proceedings of the 2019 Future of Information and Communication Conference
Editors	Kohei Arai, Rahul Bhatia
Place of Publication	Cham
Publisher	Springer Verlag
Pages	725-741
Number of pages	17
ISBN (Electronic)	9783030123888
ISBN (Print)	9783030123871
DOIs	https://doi.org/10.1007/978-3-030-12388-8_50
State	Published - 2020

Publication series

Name	Lecture Notes in Networks and Systems
Volume	69

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

Keywords

Classification
Crime analysis
Text mining
Word vectorization and embeddings

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-12388-8_50

Cite this

Alatrista-Salas, H., Morzán-Samamé, J., & Nunez-del-Prado, M. (2020). Crime alert! crime typification in news based on text mining. In K. Arai, & R. Bhatia (Eds.), Lecture Notes in Networks and Systems: Proceedings of the 2019 Future of Information and Communication Conference (pp. 725-741). (Lecture Notes in Networks and Systems; Vol. 69). Springer Verlag. https://doi.org/10.1007/978-3-030-12388-8_50

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Alatrista-Salas, H, Morzán-Samamé, J & Nunez-del-Prado, M 2020, Crime alert! crime typification in news based on text mining. in K Arai & R Bhatia (eds), Lecture Notes in Networks and Systems: Proceedings of the 2019 Future of Information and Communication Conference . Lecture Notes in Networks and Systems, vol. 69, Springer Verlag, Cham, pp. 725-741. https://doi.org/10.1007/978-3-030-12388-8_50

Crime alert! crime typification in news based on text mining. / Alatrista-Salas, H.; Morzán-Samamé, J.; Nunez-del-Prado, M.
Lecture Notes in Networks and Systems: Proceedings of the 2019 Future of Information and Communication Conference . ed. / Kohei Arai; Rahul Bhatia. Cham: Springer Verlag, 2020. p. 725-741 (Lecture Notes in Networks and Systems; Vol. 69).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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Alatrista-Salas H, Morzán-Samamé J, Nunez-del-Prado M. Crime alert! crime typification in news based on text mining. In Arai K, Bhatia R, editors, Lecture Notes in Networks and Systems: Proceedings of the 2019 Future of Information and Communication Conference . Cham: Springer Verlag. 2020. p. 725-741. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-12388-8_50

Crime alert! crime typification in news based on text mining

Abstract

Publication series

Bibliographical note

Keywords

UN SDGs

Access to Document

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