首页> 外国专利> SYSTEM FOR DISTINGUISHING CLICKBAIT BASED ON NATURAL LANGUAGE PROCESSING AND METHOD THEREOF

SYSTEM FOR DISTINGUISHING CLICKBAIT BASED ON NATURAL LANGUAGE PROCESSING AND METHOD THEREOF

机译:基于自然语言处理的花式诱饵识别系统及其方法

摘要

According to an embodiment of the present invention, disclosed are a system for distinguishing a clickbait based on natural language processing and a method thereof. According to an embodiment of the present invention, the system for distinguishing a clickbait based on natural language processing is an artificial intelligence system comprising: a clickbait vocabulary database; a clickbait vocabulary collection device for collecting clickbaits while monitoring Internet news articles, extracting clickbait vocabulary from headlines of the collected clickbaits, and storing the clickbait vocabulary in the clickbait vocabulary database; and a clickbait distinguishing device for determining suitability of a headline of a news article related to a news headline selected by a user on a web page where multiple news headlines are exposed by referring to the clickbait vocabulary database. Therefore, when using the system for distinguishing a clickbait and a method thereof, much time for determination is not consumed by analyzing only a relatively short news headline, preface, trailer, hash tag and the like in a morpheme form and it is possible to distinguish a clickbait which attracts readers with exaggerated or sensational phrases by using the clickbait vocabulary database.;COPYRIGHT KIPO 2020
机译:根据本发明的实施例,公开了一种用于基于自然语言处理来区分点击诱饵的系统及其方法。根据本发明的一个实施例,基于自然语言处理的区分点击诱饵的系统是一种人工智能系统,包括:点击诱饵词汇数据库;一种点击诱饵词汇收集装置,用于在监视互联网新闻的同时,收集点击诱饵,从收集到的点击诱饵的标题中提取点击诱饵词汇,并将所述点击诱饵词汇存储在点击诱饵词汇数据库中;一种点击诱饵判别装置,用于通过参照点击诱饵词汇数据库来确定与用户在所选择的多个新闻标题被公开的网页上的新闻标题相关的新闻文章的标题的适合性。因此,当使用用于区分点击诱饵的系统及其方法时,通过仅分析词素形式的相对短的新闻标题,前言,预告片,哈希标签等,不会花费大量的确定时间,并且可以区分通过使用clickbait词汇数据库,以夸张或耸人听闻的短语吸引读者的clickbait。COPYRIGHTKIPO 2020

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