Word cloud of a list of strings:

Word cloud of a list of strings and weights:

Word cloud of an association:

Word cloud of a single string:

Create a word cloud of country names weighted by their area:

By default, WordCloud attempts to create a cloud of a rectangular shape:

Define the shape using Graphics primitives:

Define the shape as a region:

Use disconnected regions:

Words are automatically styled to be distinct:

Change the font:

Change style for a particular word:

Change the color function:

Change the background color:

Use a plot theme:

Create a monochrome word cloud:

The default background of the word cloud is transparent:

Specify a different color:

The default color function is ColorData["DarkRainbow"]:

Use a custom color function:

Use a single color:

Use shades of a single color:

Pick random colors from a specified color gradient:

By default, weights are scaled to fit in the range 0 and 1:

Scaled weights are not suitable when used with indexed colors:

Use ColorFunctionScaling->False:

The default font family used is "Helvetica":

Use a different font family:

The default font size is computed automatically:

Specify a maximum size:

Specify both a minimum and a maximum size:

Specify a custom mapping between weights and font size:

The default is FontTracking->"Plain":

Use a more expanded setting:

The font weight is Plain by default:

Use bold fonts:

By default, cases are ignored:

Differentiate between uppercase and lowercase letters:

With weighted strings and IgnoreCase->True, the total weight of the identical words is used:

With IgnoreCase->True, each word appears using the capitalization of its first occurrence:

ImageSize controls the display size only. The default display size is computed automatically:

Specify a different display size:

By default, up to 100 elements are shown in the cloud:

Specify a different amount:

Create a word cloud with a specific theme:

Specify the default processing rules:

Default styles are used for any word that is not preprocessed:

Perform spell correction before displaying strings:

By default, font sizes are taken to be proportional to weights:

Use logarithmic scaling:

Use inverted weights to highlight countries with small populations:

A word cloud with random orientations:

Randomly select from two given orientations:

Select strings based on their length:

By default, elements are selected based on decreasing weight order up to the MaxItems value:

Use a custom selection function:

Include the element weight in the selection criterion:

By default, a small space is inserted between words to make them more readable:

Use minimal spacing:

Specify the spacing:

Summarize a webpage in a word cloud:

Summarize a piece of text:

Put selected words in the shape of the US map:

Create a word cloud of all artworks of Picasso:

Extract name, area, and an image corresponding to each artwork:

Create the word cloud and use images as tooltips:

Compute and visualize different identifications of an image:

Use probabilities as weights when forming the word cloud:

Create a word cloud of nouns longer than two characters:

Split the input:

Extract all nouns from a dictionary:

Select input strings that are nouns longer than two characters:

Visualize the frequency of the characters in the built-in dictionary:

The first 50 trigrams in the English version of the Aeneid:

Word cloud of nouns in a dictionary weighted by their number of synonyms:

Select words that have at least one synonym:

Use the list of synonyms of each word as its tooltip: