通过分析报纸犯罪报道构建城市盗窃地图

2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) Pub Date : 2018-09-01 DOI:10.1109/SMAP.2018.8501866

Laura Po, Federica Rollo

{"title":"通过分析报纸犯罪报道构建城市盗窃地图","authors":"Laura Po, Federica Rollo","doi":"10.1109/SMAP.2018.8501866","DOIUrl":null,"url":null,"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.","PeriodicalId":291905,"journal":{"name":"2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"289 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Building an Urban Theft Map by Analyzing Newspaper Crime Reports\",\"authors\":\"Laura Po, Federica Rollo\",\"doi\":\"10.1109/SMAP.2018.8501866\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":291905,\"journal\":{\"name\":\"2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)\",\"volume\":\"289 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMAP.2018.8501866\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMAP.2018.8501866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 9

摘要

当今城市的主要问题之一与公共安全有关，这可以通过实施系统分析来识别和分析犯罪的模式和趋势，也称为犯罪地图来改善。绘制犯罪地图使警方分析人员能够识别犯罪热点，而且还能增加公众信心和公民参与，提高透明度。本文的重点是分析和映射通过在线报纸使用文本挖掘技术为意大利城市的盗窃。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Building an Urban Theft Map by Analyzing Newspaper Crime Reports

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)

自引率

0.00%

发文量