System for evaluating preferences by analyzing Internet media comment and method therefor

The present invention relates to a positive/negative preference evaluation system through a comment analysis of an internet media and a method therefor. Specifically, the present invention relates to the positive/negative preference evaluation system through the comment analysis of the internet medi...

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Bibliographic Details
Main Authors JO JUN HYUNG, LEE, YOUNG AE, WON KYUNG CHOI
Format Patent
LanguageEnglish
Korean
Published 08.07.2022
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Summary:The present invention relates to a positive/negative preference evaluation system through a comment analysis of an internet media and a method therefor. Specifically, the present invention relates to the positive/negative preference evaluation system through the comment analysis of the internet media that analyzes a public opinion on the Internet to use for marketing or for proposing for government policies, analyzing for an election, and the like; and the method therefor. According to the present invention, by enabling an accuracy of a preference evaluation to be improved by re-learning a content assigned accuracy through a review part to a preference evaluation result through keyword analysis and a preference evaluation result through machine learning, the present invention has an effect of accurately analyzing the public opinion of the Internet users to use for marketing or for proposing for government policies, analyzing for the election, and the like. 본 발명은 인터넷 미디어의 댓글 분석을 통한 긍정/부정 선호도 평가 시스템 및 그 방법에 관한 것으로, 인터넷 상의 여론을 분석하여 마케팅이나 정부의 정책 제안, 선거 분석 등에 사용하기 위한 인터넷 미디어의 댓글 분석을 통한 긍정/부정 선호도 평가 시스템 및 그 방법에 관한 것이다. 본 발명에 따르면, 키워드 분석을 통한 선호도 평가결과와 기계학습을 통한 선호도 평가결과에 검토부를 통해 정확도를 부여받은 내용이 다시 학습되어 선호도 평가의 정확성을 향상시킴으로써, 인터넷 사용자들의 여론을 정확하게 분석하여 마케팅이나 정부의 정책 제안, 선거 분석 등에 사용할 수 있는 효과가 있다.
Bibliography:Application Number: KR20200189245