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범죄발생 위험요소와 연관된 SNS 데이터의 효율적 추출 방법에 관한 연구

이종훈;송기성;강진아;황정래
Lee, Jong-Hoon;Song, Ki-Sung;Kang, Jin-A;Hwang, Jung-Rae

  • 투고 : 2015.01.03
  • 심사 : 2015.01.21
  • 발행 : 2015.01.31

초록

본 연구에서는 매년 증가하는 범죄에 대한 예방 측면에서 범죄발생 위험요소에 관한 정보를 사전에 파악하고 범죄발생을 예방하기 위해 SNS 데이터를 활용하는 방안을 제시한다. 최근에 SNS(Social Network Service) 데이터는 다양한 분야에서 선제적 예방 대응체계를 구축하는데 활용됨에 따라 그 중요성 또한 점점 증가하고 있다. 하지만 SNS 데이터를 단순 키워드로 수집하는 경우 관련되지 않은 데이터가 다수 포함되어 정확도 저하와 데이터 분석에 혼란을 초래할 우려가 있다. 이에, SNS 데이터의 텍스트 마이닝 분석을 통해 범죄발생 위험요소의 검색 정확도를 향상시켜 효율적으로 추출할 수 있는 방안을 제시한다.

키워드

범죄발생 위험요소;SNS 데이터;데이터 검색;텍스트 마이닝

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피인용 문헌

  1. A Method for Evaluating News Value based on Supply and Demand of Information Using Text Analysis vol.22, pp.4, 2016, https://doi.org/10.13088/jiis.2016.22.4.045

과제정보

연구 과제 주관 기관 : 국토교통부