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市场大数据的研究趋势:基于文本挖掘和主题建模的文献分析

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发布于 2018-4-16 15:34:46 | 显示全部楼层 |阅读模式
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外文标题: Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis
外文摘要: Given the research interest on Big Data in Marketing, we present a research literature analysis based
on a text mining semi-automated approach with the goal of identifying the main trends in this domain.
In particular, the analysis focuses on relevant terms and topics related with five dimensions: Big Data,
Marketing, Geographic location of authors’ affiliation (countries and continents), Products, and Sectors. A
total of 1560 articles published from 2010 to 2015 were scrutinized. The findings revealed that research
is bipartite between technological and research domains, with Big Data publications not clearly aligning
cutting edge techniques toward Marketing benefits. Also, few inter-continental co-authored publications
were found. Moreover, findings show that research in Big Data applications to Marketing is still in an
embryonic stage, thus making it essential to develop more direct efforts toward business for Big Data to
thrive in the Marketing arena.
英关键词: Big data Marketing Literature analysis Research trends Text mining
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译文标题: 市场大数据的研究趋势:基于文本挖掘和主题建模的文献分析
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