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首页> 外文期刊>International Journal of Services Technology and Management >When big data made the headlines: mining the text of big data coverage in the news media
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When big data made the headlines: mining the text of big data coverage in the news media

机译：当大数据成为头条新闻时：在新闻媒体中开采大数据覆盖的文本

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摘要

Big data-driven analytics emerged as one of the most sought-after business strategies of the decade. This paper reviews the news coverage of this phenomenon in the popular press. The study uses natural language processing (NLP) and text mining algorithms to determine the focus and tenor of the news media reporting of big data. A detailed content analysis of a five million-word corpus reveals that most news coverage focused on the newness of big data technologies that showcased usual suspects in big data geographies and industries. The insights gained from the text analysis show that big data news coverage indeed evolved where the initial focus on the promise of big data moderated over time. This study also offers a detailed expose of text mining and NLP algorithms and illustrates their application in news content analysis.
机译：大数据驱动的分析被出现为十年的最受欢迎的商业策略之一。本文评论了流行新闻中这种现象的新闻报道。该研究使用自然语言处理（NLP）和文本挖掘算法来确定大数据的新闻媒体报告的焦点和男高音。有500万个词的详细内容分析揭示了大多数新闻报道，重点是大数据技术的新性，展示了大数据地理位置和行业的常见嫌疑人。从文本分析中获得的见解表明，大数据新闻覆盖事项确实在初步关注随着时间的推移大数据的承诺。本研究还提供了详细的挖掘挖掘和NLP算法，并说明了他们在新闻内容分析中的应用。

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