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Major Research Topics in Big Data: A Literature Analysis from 2013 to 2017 Using Probabilistic Topic Models

机译:大数据中的主要研究主题:2013年至2017年使用概率主题模型的文献分析

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Big data is a popular phenomenon among practitioners as well as scholars. Due to its multidisciplinary background, big data research literature includes a wide spectrum of scientific publications in various research areas. With the aim of identification of research trends in big data literature, an empirical analysis based on probabilistic topic models was performed on peer reviewed articles between 2013 and 2017. As a result of the analysis, the 24 topics demonstrating research trends was discovered. This study maps the research landscape of the big data literature over the past five years. The findings of this study may provide valuable insights to big data research communities.
机译:大数据是在实践者和学者中都流行的现象。由于其跨学科的背景,大数据研究文献包括各个研究领域的广泛科学出版物。为了识别大数据文献中的研究趋势,在2013年至2017年之间对同行评议的文章进行了基于概率主题模型的实证分析。分析的结果是,发现了表明研究趋势的24个主题。本研究描绘了过去五年中大数据文献的研究前景。这项研究的结果可能为大数据研究社区提供有价值的见解。

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