freq_terms: Find Frequent Terms

In trinker/qdap: Bridging the Gap Between Qualitative Data and Quantitative Analysis

Description

Find the most frequently occurring terms in a text vector.

Usage

freq_terms(
  text.var,
  top = 20,
  at.least = 1,
  stopwords = NULL,
  extend = TRUE,
  ...
)

Arguments

text.var	The text variable.
top	Top number of terms to show.
at.least	An integer indicating at least how many letters a word must be to be included in the output.
stopwords	A character vector of words to remove from the text. qdap has a number of data sets that can be used as stop words including: Top200Words, Top100Words, Top25Words. For the tm package's traditional English stop words use tm::stopwords("english").
extend	logical. If TRUE the top argument is extended to any word that has the same frequency as the top word.
...	Other arguments passed to all_words.

Value

Returns a dataframe with the top occurring words.

See Also

word_list, all_words

Examples

## Not run: 
freq_terms(DATA$state, 5)
freq_terms(DATA$state)
freq_terms(DATA$state, extend = FALSE)
freq_terms(DATA$state, at.least = 4)
(out <- freq_terms(pres_debates2012$dialogue, stopwords = Top200Words))
plot(out)

## All words by sentence (row)
library(qdapTools)
x <- raj$dialogue
list_df2df(setNames(lapply(x, freq_terms, top=Inf), seq_along(x)), "row")
list_df2df(setNames(lapply(x, freq_terms, top=10, stopwords = Dolch), 
    seq_along(x)), "Title")


## All words by person
FUN <- function(x, n=Inf) freq_terms(paste(x, collapse=" "), top=n)
list_df2df(lapply(split(x, raj$person), FUN), "person")

## Plot it
out <- lapply(split(x, raj$person), FUN, n=10)
pdf("Freq Terms by Person.pdf", width=13) 
lapply(seq_along(out), function(i) {
    ## dev.new()
    plot(out[[i]], plot=FALSE) + ggtitle(names(out)[i])
})
dev.off()

## Keep spaces
freq_terms(space_fill(DATA$state, "are you"), 500, char.keep="~~")

## End(Not run)

trinker/qdap documentation built on Sept. 30, 2020, 6:28 p.m.