注意：直接拷贝文本，粘贴到输入数据框即可
必需输入
输入文本：


可选输入
图大小
宽：，高：
最小文字尺寸：
最大显示word数：
英文逗号(,)分割的停用字，例如：不想显示cancer和gene，则填写cancer,gene


颜色和绘图区域
默认颜色，默认长方形
默认颜色，自定义背景图区域
背景图颜色，自定义背景图区域
背景图URL：
说明：1，背景图颜色：根据所提供的背景图的颜色，进行绘图
2，背景图区域：在所提供图片的**非白色**区域内绘制（可以PS下）
推荐的搜索下载网站：https://www.onlinewebfonts.com/icon/ 关键词搜索你感兴趣的图片，拷贝粘贴地址。
例如：https://pic.onlinewebfonts.com/svg/img_460260.png，将文字局限于新冠注释器内

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.
输入 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.
输出

1）如何作图？
1，准备作图数据；2，用excel打开数据，调整为示例格式；3，将调整后的数据粘贴到输入框；4，选择参数；5，提交出图
2）为什么不出图？
对输入数据格式有严格要求。请观看输入框上面的视频介绍，并仔细阅读右侧说明，示例数据。
3）如何引用？
3000+篇google学术，2400+篇知网学术引用
推荐直接写网址
Cite: 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.
Method: Heatmap was plotted by https://www.bioinformatics.com.cn (last accessed on 20 Feb 2024), an online platform for data analysis and visualization.
Acknowledgement: We thank Shanghai NewCore Biotechnology Co., Ltd. (https://www.bioinformatics.com.cn, last accessed on 20 Feb 2024) for providing data analysis and visualization support.
4）交流群/公众号