新型冠状病毒科学文献聚类技术的比较研究

V. Bellandi, P. Ceravolo, S. Maghool, S. Siccardi
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引用次数: 1

摘要

由于目前由COVID-19引起的紧急情况,有关该主题的科学文献迅速增加。同时,迫切需要有目的性、针对性强、背景知识扎实的研究计划。然而,由多个社区产生的大量文档产生了碎片化的术语,这可能会在信息检索中造成混乱。为此,在一项比较研究中,我们测试了不同的技术来有效地聚类这些出版物,以提高它们的可寻性水平。
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A Comparative Study of Clustering Techniques Applied on Covid-19 Scientific Literature
Due to the current emergency situation, caused by COVID-19, the scientific literature on the topic has rapidly grown. At the same time, purposeful and targeted research plans with strong background knowledge is urgently needed. However, the huge number of documents produced by multiple communities generates a fragmented terminology that may cause confusion in information retrieval. To this aim, in a comparative study, we test different techniques to efficiently cluster these publications for improving their level of findability.
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