# tfidf

0th

Percentile

##### TF-IDF

This function calculates a variant of TF-IDF. The input is assumed to contain relative frequencies. IDF is calculated as follows: $idf_t = \log\frac{N+1}{n_t}$, with $N$ being the total number of documents (i.e., rows) and $n_t$ the number of documents containing term $t$. We add one to the denominator to prevent terms that appear in every document to become 0.

##### Usage
tfidf(ftable)
##### Arguments
ftable

A matrix, containing "documents" as rows and "terms" as columns. Values are assumed to be normalized by document, i.e., contain relative frequencies.

##### Value

A matrix containing TF*IDF values instead of relative frequencies.

• tfidf
##### Examples
# NOT RUN {
data(rksp.0)
ftable <- frequencytable(rksp.0, byCharacter=TRUE, normalize=TRUE)
rksp.0.tfidf <- tfidf(ftable)
mat <- matrix(c(0.10,0.2, 0,
0,   0.2, 0,
0.1, 0.2, 0.1,
0.8, 0.4, 0.9),
nrow=3,ncol=4)
mat2 <- tfidf(mat)
print(mat2)
# }

Documentation reproduced from package DramaAnalysis, version 3.0.0, License: GPL (>= 3)

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