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quanteda (version 0.9.6-1)

tf: compute (weighted) term frequency from a dfm

Description

Apply varieties of term frequency weightings to a dfm.

Usage

tf(x, scheme = c("count", "prop", "propmax", "boolean", "log", "augmented",
  "logave"), base = 10, K = 0.5)
## S3 method for class 'dfm':
tf(x, scheme = c("count", "prop", "propmax", "boolean", "log",
  "augmented", "logave"), base = 10, K = 0.5)

Arguments

x
object for which idf or tf-idf will be computed (a document-feature matrix)
scheme
divisor for the normalization of feature frequencies by document. Valid types include: [object Object],[object Object],[object Object]
base
base for the logarithm when scheme is "log" or logave
K
the K for the augmentation when scheme = "augmented"

Value

  • A document feature matrix to which the weighting scheme has been applied.

Details

tf is a shortcut to compute relative term frequecies (identical to weight(x, "relFreq")).

References

Manning, C. D., Raghavan, P., & Schutze, H. (2008). Introduction to Information Retrieval. Cambridge University Press.

https://en.wikipedia.org/wiki/Tf-idf#Term_frequency_2