topfeatures: Identify the most frequent features in a dfm

In koheiw/quanteda.core: Quantitative Analysis of Textual Data

Description

List the most (or least) frequently occurring features in a dfm, either as a whole or separated by document.

Usage

topfeatures(
  x,
  n = 10,
  decreasing = TRUE,
  scheme = c("count", "docfreq"),
  groups = NULL
)

Arguments

x	the object whose features will be returned
n	how many top features should be returned
decreasing	If TRUE, return the n most frequent features; otherwise return the n least frequent features
scheme	one of count for total feature frequency (within group if applicable), or docfreq for the document frequencies of features
groups	either: a character vector containing the names of document variables to be used for grouping; or a factor or object that can be coerced into a factor equal in length or rows to the number of documents. NA values of the grouping value are dropped. See groups for details.

Value

A named numeric vector of feature counts, where the names are the feature labels, or a list of these if groups is given.

Examples

dfmat1 <- corpus_subset(data_corpus_inaugural, Year > 1980) %>%
    dfm(remove_punct = TRUE)
dfmat2 <- dfm_remove(dfmat1, stopwords("english"))

# most frequent features
topfeatures(dfmat1)
topfeatures(dfmat2)

# least frequent features
topfeatures(dfmat2, decreasing = FALSE)

# top features of individual documents
topfeatures(dfmat2, n = 5, groups = docnames(dfmat2))

# grouping by president last name
topfeatures(dfmat2, n = 5, groups = "President")

# features by document frequencies
tail(topfeatures(dfmat1, scheme = "docfreq", n = 200))

koheiw/quanteda.core documentation built on Sept. 21, 2020, 3:44 p.m.