Count words for word cloud creation
Word Cloud Frequency Counts
Extract the text from
str = extractFileText("sonnets.txt");
View the first sonnet.
i = strfind(str,"I"); ii = strfind(str,"II"); start = i(1); fin = ii(1); extractBetween(str,start,fin-1)
ans = "I From fairest creatures we desire increase, That thereby beauty's rose might never die, But as the riper should by time decease, His tender heir might bear his memory: But thou, contracted to thine own bright eyes, Feed'st thy light's flame with self-substantial fuel, Making a famine where abundance lies, Thy self thy foe, to thy sweet self too cruel: Thou that art now the world's fresh ornament, And only herald to the gaudy spring, Within thine own bud buriest thy content, And tender churl mak'st waste in niggarding: Pity the world, or else this glutton be, To eat the world's due, by the grave and thee. "
Tokenize and preprocess the sonnets text and create a table of word frequency counts.
T = wordCloudCounts(str); head(T)
Word Count ______ _____ "thy" 281 "thou" 235 "love" 188 "thee" 162 "eyes" 90 "doth" 88 "make" 63 "mine" 63
str — Input text
string array | character vector | cell array of character vectors
Input text, specified as a string array, character vector, or cell array of character vectors.
["an example of a short document";"a second short document"]
T — Table of word counts
Table of words counts sorted in order of importance. The table has columns:
|String scalar of the word.|
|The number of times the word appears in the
documents. The function groups the counts of words that
differ only by case or have a common stem according to
Introduced in R2017b