[리포트/영문] 빅데이터―오피니언 마이닝―를 이용한 방송콘텐츠의 질 제고 방안

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As digital media have emerged, it became golden age of ‘Big Data’ which produces huge amount of data and information about everything we think and behave. It is not too much to say that Big Data is a key word of the here and the hereafter’s industrial world. In reality, a lot of public and private sectors have been eager to take advantage of Big Data and they are now trying to seek more effective way to make full use of Big Data to their advantage. Therefore, in this report, I would like to discuss about the way for future broadcasting contents to develop using Big Data.
Before going into details, it is prerequisite to briefly go over what is Big Data. Big Data is the data that is huge in its scale compared to past time’s data which is spawned within analog media environment. It has short formation cycle and encompasses all the forms of text, video and etc. As many people make using personal computer, internet and mobiles a common way of life, the number of the data made by them is exponentially increasing now (정용찬, 2012a).

참고 자료

정용찬(2012a), 『빅데이터 혁명과 미디어 정책 이슈』, 정보통신정책연구원, p.4.
강만모·김상락(2014), 빅데이터 분석 기술의 오늘과 미래, 정보과학회지, 제32권 제1호, p.9-10.
김응모·이경민·인관호(2013), 「오피니언 마이닝을 이용한 예상 시청률 분석」, 『한국정보과학회 학술발표논문집』, 한국정보과학회, p.365-367.
Liu, Bing(2011), Web Data Mining, Springer.
Pang, Bo & Lee, Lillian(2008), Opinion mining and sentiment analysis, Foundations and Trends in Information Retrieval.
정용찬(2011), [옴부즈맨 칼럼] ‘빅데이터 시대’의 미디어 전략, ≪서울신문≫