One of the main issues in today's cities is related to public safety, which can be improved by implementing a systematic analysis for identifying and analyzing patterns and trends in crime also called crime mapping. Mapping crime allows police analysts to identify crime hot spots, moreover it increases public confidence and citizen engagement and promotes transparency.This paper is focused on analyzing and mapping thefts through on-line newspaper using text mining techniques for an Italian city.

Building an Urban Theft Map by Analyzing Newspaper Crime Reports / Po, Laura; Rollo, Federica. - (2018), pp. 13-18. (Intervento presentato al convegno 13th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2018 tenutosi a Saragozza, Spagna nel 6-7 Settembre 2018) [10.1109/SMAP.2018.8501866].

Building an Urban Theft Map by Analyzing Newspaper Crime Reports

Po, Laura;Rollo, Federica
2018

Abstract

One of the main issues in today's cities is related to public safety, which can be improved by implementing a systematic analysis for identifying and analyzing patterns and trends in crime also called crime mapping. Mapping crime allows police analysts to identify crime hot spots, moreover it increases public confidence and citizen engagement and promotes transparency.This paper is focused on analyzing and mapping thefts through on-line newspaper using text mining techniques for an Italian city.
2018
13th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2018
Saragozza, Spagna
6-7 Settembre 2018
13
18
Po, Laura; Rollo, Federica
Building an Urban Theft Map by Analyzing Newspaper Crime Reports / Po, Laura; Rollo, Federica. - (2018), pp. 13-18. (Intervento presentato al convegno 13th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2018 tenutosi a Saragozza, Spagna nel 6-7 Settembre 2018) [10.1109/SMAP.2018.8501866].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1169200
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