Crime Intelligence from Social Media:A Case Study


Savas S., TOPALOĞLU N.

14th IEEE International Scientific Conference on Informatics, Poprad, Slovakya, 14 - 16 Kasım 2017, ss.313-317 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Basıldığı Şehir: Poprad
  • Basıldığı Ülke: Slovakya
  • Sayfa Sayıları: ss.313-317
  • Anahtar Kelimeler: Big Data, Data Analysis, Intelligence, Social Media, Twitter, Zemberek-NLP
  • Gazi Üniversitesi Adresli: Evet

Özet

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.