extract_ngram: Extract n-grams from the input tweets data
In UBC-MDS/textprepr: Performs Pre-Processing of Tweets
Description
Usage
Arguments
Value
Examples
View source: R/extract_ngram.R
Description
Extract n-grams from the input tweets data
Usage
1
extract_ngram(tweets, n = 3)
Arguments
tweets
A vector of tweets
n
Length of n-grams to be created
Default is 3. n-grams of length 3 will be created
Value
Vector of n-grams
Examples
1
2
3
4
tweets <- c(
"Make", "America", "Great", "Again", "DonaldTrump"
)
extract_ngram(tweets, n=3)
UBC-MDS/textprepr documentation built on Feb. 5, 2022, 8:13 a.m.
R Package Documentation
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Description Usage Arguments Value Examples
View source: R/extract_ngram.R
Description
Extract n-grams from the input tweets data
Usage
1 | extract_ngram(tweets, n = 3)
|
Arguments
tweets |
A vector of tweets |
n |
Length of n-grams to be created Default is 3. n-grams of length 3 will be created |
Value
Vector of n-grams
Examples
1 2 3 4 | tweets <- c(
"Make", "America", "Great", "Again", "DonaldTrump"
)
extract_ngram(tweets, n=3)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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