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removeEmptyDocuments

Remove empty documents from tokenized document array, bag-of-words model, or bag-of-n-grams model

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Syntax

newDocuments = removeEmptyDocuments(documents)
newBag = removeEmptyDocuments(bag)
[___,idx] = removeEmptyDocuments(___)

Description

example

newDocuments= removeEmptyDocuments(documents)removes documents which have no words fromdocuments.

example

newBag= removeEmptyDocuments(袋)removes documents which have no words or n-grams from the bag-of-words or bag-of-n-grams model袋.

example

[___,idx] = removeEmptyDocuments(___)also returns the indices of the removed documents.

Examples

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Open Live Script

从一个数组删除包含没有单词的文档of tokenized documents.

Create an array of tokenized documents which includes empty documents.

documents = tokenizedDocument(["an example of a short sentence""""a second short sentence"""])
documents = 4x1 tokenizedDocument: 6 tokens: an example of a short sentence 0 tokens: 4 tokens: a second short sentence 0 tokens:

Remove the empty documents.

newDocuments = removeEmptyDocuments(documents)
newDocuments = 2x1 tokenizedDocument: 6 tokens: an example of a short sentence 4 tokens: a second short sentence
Open Live Script

Remove documents containing no words from bag-of-words model.

Create a bag-of-words model from an array of tokenized documents.

documents = tokenizedDocument(["An example of a short sentence.""""A second short sentence."""]); bag = bagOfWords(documents)
袋= bagOfWords with properties: Counts: [4x9 double] Vocabulary: ["An" "example" "of" "a" "short" ... ] NumWords: 9 NumDocuments: 4

Remove the empty documents from the bag-of-words model.

newBag = removeEmptyDocuments(bag)
newBag = bagOfWords with properties: Counts: [2x9 double] Vocabulary: ["An" "example" "of" "a" "short" ... ] NumWords: 9 NumDocuments: 2
Open Live Script

从一个数组删除包含没有单词的文档and use the indices of removed documents to remove the corresponding labels also.

Create an array of tokenized documents which includes empty documents.

documents = tokenizedDocument(["an example of a short sentence""""a second short sentence"""])
documents = 4x1 tokenizedDocument: 6 tokens: an example of a short sentence 0 tokens: 4 tokens: a second short sentence 0 tokens:

Create a vector of labels.

labels = ["T";"F";"F";"T"]
labels =4x1 string"T" "F" "F" "T"

Remove the empty documents and get the indices of the removed documents.

[newDocuments, idx] = removeEmptyDocuments(documents)
newDocuments = 2x1 tokenizedDocument: 6 tokens: an example of a short sentence 4 tokens: a second short sentence
idx =2×12 4

Remove the corresponding labels fromlabels.

labels(idx) = []
labels =2x1 string"T" "F"

Input Arguments

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Input documents, specified as atokenizedDocumentarray.

Input bag-of-words or bag-of-n-grams model, specified as a袋OfWordsobject or a袋OfNgramsobject.

Output Arguments

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Output documents, returned as atokenizedDocumentarray.

Output model, returned as a袋OfWordsobject or a袋OfNgramsobject. The type ofnewBagis the same as the type of袋.

Indices of removed documents, returned as a vector of positive integers.

Version History

Introduced in R2017b

See Also

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