A
word cloud displays a set of words from a
character data item. Depending on the type of word
cloud and your data roles, the size of each word in the cloud can indicate the importance
(topic
term weight) of the word, the frequency of the word, or the value of a measure.
You can create two types of word cloud:
Word clouds that use text analytics analyze each value in a
document collection data item as a
text document that can contain multiple words. Words that often appear together in the document
collection are identified as topics. For the selected topic, the word cloud displays
the terms with the greatest topic term weight values. The topic
term weight indicates the importance of the term within the topic.
A word cloud that uses text analytics can also display whether the documents in a
topic express positive, negative, or
neutral sentiment.
The details table for a text analytics word cloud contains additional information
about the terms, topics, and documents in the word
cloud.
For more information,
see Explore Text Analytics Results.
Note: Text analytics can be applied
only to English or German text.
Note: Depending on the number of
rows in your data source and the length of the values in your document
collection, a word cloud with text analytics might require a significant
amount of time to display.
Note: Text analytics in SAS Visual
Analytics uses a different algorithm from SAS Text Miner. Your results
might be different from the results that SAS Text Miner produces.
Word clouds that use category values
Word clouds that use category values analyze each value in a
category data item as a single
text string. The word cloud can display either the
string values that have the highest frequency or the string values that have the greatest
value for a measure. The color of each word can indicate the value of a measure.
Note: If you view the word cloud
as an automatic chart, then any changes to the Roles tab
might cause the visualization to reset. It is recommended that you
view it as a word cloud.