我创建了一个Silverlight组件，它使用Jonathan在这里建议的算法。源代码和示例项目都可以在我的博客上找到:

http://whydoidoit.com

我的云可以让你根据不同的权重为单词着色和大小，它支持单词选择(从坐标)和选中的单词高亮显示。源代码是您的，您可以根据需要使用。

我是Wordle的创造者。以下是Wordle的实际工作原理:

数单词，扔掉无聊的单词，按数量排序，降序排列。保留前N个单词的N个，为每个单词分配与其计数成比例的字体大小。使用Java2D API为每个单词生成一个Java2D Shape。

每个单词“都想”在某个地方，比如“在垂直中心的某个随机x位置”。按照出现频率的递减顺序，对每个单词执行以下操作:

place the word where it wants to be
while it intersects any of the previously placed words
    move it one step along an ever-increasing spiral

就是这样。困难的部分是如何有效地进行交叉测试，为此我使用了最后一次缓存、分层边界框和四叉树空间索引(所有这些都是您可以通过google了解更多的东西)。

编辑:正如Reto Aebersold指出的，现在有一本书的章节，免费提供，涵盖了同样的领域:美丽的可视化，第3章:Wordle

I've implemented a word cloud generator called WordCloud.jl in Julia language. A brief description about its algorithm can be found here. Unlike most other implementations, I designed it based on gradient optimization. It’s a non-greedy algorithm in which words can be further moved after they are positioned. Thus the size of the words and the shape and size of the background mask can be kept unchanged in the generation process. This makes the outputs more accurate and easy to customize. Furthermore, we can also generate some fancy outputs like these: Comparison of Obama's and Trump's inaugural address and Wikipedia: Julia

我正在寻找一个类似文字的可视化，它可以分配与其他数据相关的字符串的颜色，初始位置和大小，例如文本中的相关性-没有找到任何东西，但多亏了我在这里找到的信息(特别是Jonathan的解释和aeby的链接)，我终于可以实现“Cloudio”，它相对接近wordle(至少我是这样认为的…)，并提供了我正在寻找的功能。

It is implemented with SWT and JFace, and I tried to integrate it into the MVC-model of JFace, such that you can set content- and label-providers to modify the layout of a cloud and add it to other Eclipse-plugins or RCP apps. You can also modify the way the initial position of a string is calculated, such that is not difficult to use it for cluster visualization or else. It is still poorly documented and limited in some ways (and I did the initial upload a few hours ago, so it might still be a bit buggy), but if you're interested, here's the link:

如果你想快速了解一些云，这里有一个链接:https://github.com/sschwieb/Cloudio/wiki/Example-Clouds

干杯, 斯蒂芬

这是一个非常好的javascript代码，来自Jason Davies，它使用了d3。你甚至可以使用web字体。

演示: http://www.jasondavies.com/wordcloud/

Github: https://github.com/jasondavies/d3-cloud

我正在研究WordCram，一个用于制作词云的处理库。它受到Wordle的很大影响，并被上面链接的相同的PDF aeby告知。它为你处理碰撞检测，让你专注于你想要的文字布局，颜色，旋转等。