ifiles: Creates iterator over text files from the disk
In text2vec: Modern Text Mining Framework for R

Description Usage Arguments See Also Examples

The result of this function usually used in an itoken function.

ifiles(file_paths, reader = readLines)

idir(path, reader = readLines)

ifiles_parallel(file_paths, reader = readLines,
  n_chunks = foreach::getDoParWorkers())

`file_paths`	`character` paths of input files
`reader`	`function` which will perform reading of text files from disk, which should take a path as its first argument. `reader()` function should return named character vector: elements of vector = documents, names of the elements = document ids which will be used in DTM construction. If user doesn't provide named character vector, document ids will be generated as file_name + line_number (assuming that each line is a document).
`path`	`character` path of directory. All files in the directory will be read.
`n_chunks`	`integer`, defines in how many chunks files will be processed. For example if you have 32 files, and `n_chunks = 8`, then for each 4 files will be created a job (for example document-term matrix construction). In case some parallel backend registered, each job will be evaluated in a separated thread (process) in parallel. So each such group of files will be processed in parallel and at the end all 8 results from will be combined.

itoken

## Not run: 
current_dir_files = list.files(path = ".", full.names = TRUE)
files_iterator = ifiles(current_dir_files)
parallel_files_iterator = ifiles_parallel(current_dir_files, n_chunks = 4)
it = itoken_parallel(parallel_files_iterator)
dtm = create_dtm(it, hash_vectorizer(2**16), type = 'dgTMatrix')

## End(Not run)
dir_files_iterator = idir(path = ".")