Crime Intelligence from Social Media:A Case Study

被引：0

作者：

Savas, Serkan ^{[1
]}

Topaloglu, Nurettin ^{[2
]}

机构：

[1] Anatolian High Sch, Yenikent Ahmet Cicek Vocat & Tech, Ankara, Turkey

[2] Gazi Univ, Fac Technol, Ankara, Turkey

来源：

2017 IEEE 14TH INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATICS | 2017年

关键词：

Big Data; Data Analysis; Intelligence; Social Media; Twitter; Zemberek-NLP;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Social media usage is improving every day and new social media websites are being published one by one each day. The huge amount of data generated on social media websites is like a treasure for research and analysis. These data must be processed to reach the information which is aimed. An example application is developed in this study to intelligence on Twitter. Nearly 150 thousand tweets data on Turkish Language are taken from Twitter between specified dates and processed by Turkish Zemberek-NLP (Natural Language Processing) and the relation between data is announced. The crimes are classified according to TUIK (Turkish Statistical Institute) criminals' data and keywords are defined based on these data. Analyze based on these data was applied and results were announced. It is seen that bomb attacks and terror events are spoken on Twitter in Turkey mostly during study dates. Bigger masses can be reachable by expanding keywords group and pulse of community can be listened so, various measures can be taken by doing necessary follows.

引用

页码：313 / 317

页数：5

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