词云(wordcloud)
简介
以带颜色的word图显示一段文本中的word,频率越高,字体越大。可以帮助我们快速了解一段文字。注:该图不是矢量图。
数据说明
数据为一段文字,支持中英文混编
论文例子
An overview of literature on COVID-19, MERS and SARS: Using text mining and latent Dirichlet allocation Fig 7.
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The unprecedented outbreak of COVID-19 is one of the most serious global threats to public health in this century. During this crisis, specialists in information science could play key roles to support the efforts of scientists in the health and medical community for combatting COVID-19. In this article, we demonstrate that information specialists can support health and medical community by applying text mining technique with latent Dirichlet allocation procedure to perform an overview of a mass of coronavirus literature. This overview presents the generic research themes of the coronavirus diseases: COVID-19, MERS and SARS, reveals the representative literature per main research theme and displays a network visualisation to explore the overlapping, similarity and difference among these themes. The overview can help the health and medical communities to extract useful information and interrelationships from coronavirus-related studies. |
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如何引用?
建议直接写网址。助力发表7600+篇
(google学术),6000+篇
(知网)论文
正式引用:Tang D, Chen M, Huang X, Zhang G, Zeng L, Zhang G, Wu S, Wang Y.
SRplot: A free online platform for data visualization and graphing. PLoS One. 2023 Nov 9;18(11):e0294236. doi: 10.1371/journal.pone.0294236. PMID: 37943830.
方法章节:Heatmap was plotted by https://www.bioinformatics.com.cn (last accessed on 10 Dec 2024), an online platform for data analysis and visualization.
致谢章节:We thank Mingjie Chen (Shanghai NewCore Biotechnology Co., Ltd.) for providing data analysis and visualization support.