Social Smart City: A Platform to Analyze Social Streams in Smart City Initiatives

被引：0

作者：

Souza, Arthur ^{[1
]}

Figueredo, Mickael ^{[3
]}

Cacho, Nelio ^{[1
]}

Araujo, Daniel ^{[2
]}

Coelho, Jazon ^{[1
]}

Prolo, Carlos A. ^{[1
]}

机构：

[1] Univ Fed Rio Grande do Norte, Dept Informat & Appl Math, Natal, RN, Brazil

[2] Univ Fed Rio Grande do Norte, Digital Metropolis Inst, Natal, RN, Brazil

[3] Univ Fed Rio Grande do Norte, Sch Sci & Techol, Natal, RN, Brazil

来源：

IEEE SECOND INTERNATIONAL SMART CITIES CONFERENCE (ISC2 2016) | 2016年

关键词：

CITIES;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A central issue in the context of smart cities is how to analyze a large amount of data generated by different kinds of sources in real time. This paper reports a case study in real-time acquisition of crime detection information from social media messages, built on top of a plataform for fast processing and visualization of data from Twitter. The purpose is to allow city managers to act timely on preventing crime occurence as detected from tweets posted by real users. Key issues here are the processing of a large volume of data and modularization and customization capabilities implemented through pipelined modules for robust, fast, real time tweet acquisition and storage. In particular, the customization is reflected by modules of filtering of several kinds, natural language processing tasks, topped by a machime learning analysis that allows for the classification of the input messages according to the local policy category system.

引用

页码：650 / 655

页数：6

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