texts: Get or assign corpus texts [deprecated]

In quanteda: Quantitative Analysis of Textual Data

Get or assign corpus texts [deprecated]

Description

This function has been made defunct and replaced.

• Use as.character.corpus() to turn a corpus into a simple named character vector.

• Use corpus_group() instead of texts(x, groups = ...) to aggregate texts by a grouping variable.

• Use [<- instead of ⁠texts()<-⁠ for replacing texts in a corpus object.

Usage

texts(x, groups = NULL, spacer = " ")

texts(x) <- value

Arguments

x	a corpus
groups	grouping variable for sampling, equal in length to the number of documents. This will be evaluated in the docvars data.frame, so that docvars may be referred to by name without quoting. This also changes previous behaviours for groups. See news(Version >= "3.0", package = "quanteda") for details.
spacer	when concatenating texts by using groups, this will be the spacing added between texts. (Default is two spaces.)
value	character vector of the new texts

Details

Get or replace the texts in a corpus, with grouping options. Works for plain character vectors too, if groups is a factor.

Value

For texts, a character vector of the texts in the corpus.

For ⁠texts <-⁠, the corpus with the updated texts.

for ⁠texts <-⁠, a corpus with the texts replaced by value

Note

The groups will be used for concatenating the texts based on shared values of groups, without any specified order of aggregation.

You are strongly encouraged as a good practice of text analysis workflow not to modify the substance of the texts in a corpus. Rather, this sort of processing is better performed through downstream operations. For instance, do not lowercase the texts in a corpus, or you will never be able to recover the original case. Rather, apply tokens_tolower() after applying tokens() to a corpus, or use the option tolower = TRUE in dfm().

quanteda documentation built on Sept. 11, 2024, 6:08 p.m.