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wordCloudCounts

算我们rds for word cloud creation

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Syntax

T = wordCloudCounts(str)

Description

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T= wordCloudCounts(str)tokenizes and preprocesses the text instrfor word cloud creation and returns a tableTof words and frequency counts. The function supports English, Japanese, German, and Korean text.

Examples

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Open Live Script

Extract the text fromsonnets.txtusingextractFileText.

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)
ans=8×2 tableWord Count ______ _____ "thy" 281 "thou" 235 "love" 188 "thee" 162 "eyes" 90 "doth" 88 "make" 63 "mine" 63

Input Arguments

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Input text, specified as a string array, character vector, or cell array of character vectors.

For string input, thewordcloudandwordCloudCountsfunctions use English, Japanese, German, and Korean tokenization, stop word removal, and word normalization.

Example:["an example of a short document";"a second short document"]

Data Types:string|char|cell

Output Arguments

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Table of words counts sorted in order of importance. The table has columns:

Word 字符串标量的词。
Count 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 tonormalizeWords. For example, the function groups the counts for "walk", "Walking", "walking", and "walks".

More About

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Language Considerations

For string input, thewordcloudandwordCloudCountsfunctions use English, Japanese, German, and Korean tokenization, stop word removal, and word normalization.

See Also

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Topics

Introduced in R2017b

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