get_common_words_single: Returns common words for a matrix
In jlricon/MaxClassify: An efficient maximum entropy classifier, with some convenience functions
Description
Usage
Arguments
Value
Description
Returns common words for a matrix
Usage
1
2
3
get_common_words_single(text, minDocFreq = 0, maxDocFreq = 1,
minWordLength = 0, maxWordLength = Inf, weighting = "count",
ngrams = 1, minCount = 1, verbose = FALSE)
Arguments
text
A vector of strings to be made into a matrix
minDocFreq
Minimum frequency of a word to be included (count or fraction)
maxDocFreq
Maxmimum frequency of a word to be included (count or fraction)
minWordLength
Minimum wordlength for a word to be included
maxWordLength
Maximum wordlength for a word to be included
weighting
Weighting to use. Choose between frequency, relFreq, relMaxFreq, logFreq, tfidf (See dfm_weight)
ngrams
Vector that specifies type of ngrams to generate
Value
A document feature matrix
jlricon/MaxClassify documentation built on May 29, 2019, 2:56 p.m.
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Description Usage Arguments Value
Description
Returns common words for a matrix
Usage
1 2 3 | get_common_words_single(text, minDocFreq = 0, maxDocFreq = 1,
minWordLength = 0, maxWordLength = Inf, weighting = "count",
ngrams = 1, minCount = 1, verbose = FALSE)
|
Arguments
text |
A vector of strings to be made into a matrix |
minDocFreq |
Minimum frequency of a word to be included (count or fraction) |
maxDocFreq |
Maxmimum frequency of a word to be included (count or fraction) |
minWordLength |
Minimum wordlength for a word to be included |
maxWordLength |
Maximum wordlength for a word to be included |
weighting |
Weighting to use. Choose between frequency, relFreq, relMaxFreq, logFreq, tfidf (See dfm_weight) |
ngrams |
Vector that specifies type of ngrams to generate |
Value
A document feature matrix
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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