인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 지도교수
- 조범준
- 발행연도
- 2017
- 저작권
- 조선대학교 논문은 저작권에 의해 보호받습니다.
이용수57
초록· 키워드
상세정보 수정요청해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
In the last decade, the penetration rate of smartphones is growing rapidly.
As smartphones become common, usage rate of internet and social networking
has increased. Young people in teenager and 20s have the advantage of enjoying the amount of informations they can get fast in social networking, but they also have the disadvantage of getting easily informations are harmful to youths.
Among them, illegal sports gambling advertisement is the most accessible. Most of the illegal sports gambling vendors post pictures are inserted a saying they want to promote, so they can avoid text-based filtering methods. By monitoring advertisements for illegal sports gambling, I judged that social networking programs need stronger prevention methods than passive prevention, which tipped off about illegal ads and blocked that.
Therefore, this dissertation proposes the following methods to aggressively block illegal sports gambling ads. Firstly, get samples of illegal sports gambling advertising images are used for advertising, analyze words are used frequently and classify by the group according to their importance. Secondly, calculate the value by applying the weighted equation for each word. Based on the results of the survey, it is judged whether or not an illegal sports gambling advertisement is classified..
The result of the experiment in the proposed method, Of the 200 images of the 200 images, 193 images were appropriately identified. In other words, 96.5 % of the success rate was shown in the experiment. Research is likely to be needed for failure rates that have been disallowed for later years.
As smartphones become common, usage rate of internet and social networking
has increased. Young people in teenager and 20s have the advantage of enjoying the amount of informations they can get fast in social networking, but they also have the disadvantage of getting easily informations are harmful to youths.
Among them, illegal sports gambling advertisement is the most accessible. Most of the illegal sports gambling vendors post pictures are inserted a saying they want to promote, so they can avoid text-based filtering methods. By monitoring advertisements for illegal sports gambling, I judged that social networking programs need stronger prevention methods than passive prevention, which tipped off about illegal ads and blocked that.
Therefore, this dissertation proposes the following methods to aggressively block illegal sports gambling ads. Firstly, get samples of illegal sports gambling advertising images are used for advertising, analyze words are used frequently and classify by the group according to their importance. Secondly, calculate the value by applying the weighted equation for each word. Based on the results of the survey, it is judged whether or not an illegal sports gambling advertisement is classified..
The result of the experiment in the proposed method, Of the 200 images of the 200 images, 193 images were appropriately identified. In other words, 96.5 % of the success rate was shown in the experiment. Research is likely to be needed for failure rates that have been disallowed for later years.
목차
- 목 차ABSTRACT ………………………………………………… iⅠ. 서 론 …………………………………………………… 11. 연구의 필요성 …………………………………………… 12. 연구내용과 범위 ………………………………………… 4Ⅱ. 관련연구 ………………………………………………… 71. 불법 스포츠 도박 실태 조사 …………………………… 72. 유해 컨텐츠 차단을 위한 노력 ………………………… 103. 가중치 기법에 관한 연구 ……………………………… 13Ⅲ. 빈도 별 가중치 공식을 적용한 광고 차단 방법 ………………………………………………………………… 161. 이미지화 된 단어 분석 ………………………………… 181) A 그룹 ………………………………………………… 212) B 그룹 ………………………………………………… 213) C 그룹 ………………………………………………… 222. 사용자정의 가중치 및 빈도 별 가중치 공식 ………… 231) 사용자정의 가중치 …………………………………… 232) 빈도 별 가중치………………………………………… 253. 차단 여부 판정 ………………………………………… 29Ⅳ. 실험 및 결과 ………………………………………… 32Ⅴ. 결론 …………………………………………………… 38참고문헌 …………………………………………………… 41
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