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아챗에서 변태 분석 개발기

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아노미챗 익명 SNS 에서 변태 사용자 성향을 분석하는 방법에 대한 설명 한다.

Published in: Data & Analytics
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아챗에서 변태 분석 개발기

  1. 1. 아챗에서 변태 성향 분석 개발기 박동철
  2. 2. 아챗은 랜덤 메시지를 주고 받는 익명 SNS 2015년 7월 기준
  3. 3. 아챗에서 가장 중요한 것은? 어떻게 하면 메 시지 배분을 원하는 사람에게 효율적으로 하지 ?
  4. 4. 익명이지만 성향을 분석 하자 !!
  5. 5. 먼저 변태를 판별해 볼까? ㅋㅋ
  6. 6. 기본적인 아이디어 !! 변태 유저의 성향을 분석하여 변태 유저 들 끼리 메시지를 주 고 받게 하자
  7. 7. 분석 방법 변태 SAMPLE 메시지 추출 텍스트 분석 및 키워드 추출 키워드별 확률 구함 확률 예측 모델 구현 SAMPLE 데이터 트레이닝 확률 예측 모델 수정 및 확정 서비스 적용
  8. 8. 확률 예측 모델은? Bayesian Probability 을 응용
  9. 9. Naive Bayesian을 응용 - 구현 하고 보니 Pure Bayesian이 더 적절 - 하지만 Pure Bayesian 은 구현 비용이 많이 들어 초기 구현으로 적절하지 않음 - 다행히 해당 케이스의 초기 구현은 별도의 독 립된 확률로 보고 별도의 가중치 상수로? 커 버 가능
  10. 10. 과제 및 결론 - 이론적인 모델에 서비스에 맞는 방법으로 적 절이 변경하여 응용해야 한다. (노하우) - 분석 하고 확률 모델 구현하는 것은 노가다다 . - 텍스트 마이닝도 노가다다 - 좀더 정확하게 분류 하기 위해서 Pure Bayesian 으로 변경하여 구현 필요 - 지속적으로 학습하는 모델로 변경 하기 위해 서 빅데이터 플랫폼 구축 필요
  11. 11. 개발 교류는 ^^ http://blog.naver.com/pdc222

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