Read texts and create a keyATM_docs object, which is a list of texts.
keyATM_read(
texts,
encoding = "UTF-8",
check = TRUE,
keep_docnames = FALSE,
split = 0
)input. keyATM takes a quanteda dfm (dgCMatrix), data.frame, tibble tbl_df, or a vector of file paths.
character. Only used when texts is a vector of file paths. Default is UTF-8.
logical. If TRUE, check whether there is anything wrong with the structure of texts. Default is TRUE.
logical. If TRUE, it keeps the document names in a quanteda dfm. Default is FALSE.
numeric. This option works only with a quanteda dfm. It creates a two subset of the dfm by randomly splitting each document (i.e., the total number of documents is the same between two subsets). This option specifies the split proportion. Default is 0.
a keyATM_docs object. The first element is a list whose elements are split texts. The length of the list equals to the number of documents.
if (FALSE) {
# Use quanteda dfm
keyATM_docs <- keyATM_read(texts = quanteda_dfm)
# Use data.frame or tibble (texts should be stored in a column named `text`)
keyATM_docs <- keyATM_read(texts = data_frame_object)
keyATM_docs <- keyATM_read(texts = tibble_object)
# Use a vector that stores full paths to the text files
files <- list.files(doc_folder, pattern = "*.txt", full.names = TRUE)
keyATM_docs <- keyATM_read(texts = files)
}