Type: Package
Package: bdpar
Title: Big Data Preprocessing Architecture
Version: 3.1.0
Authors@R: 
    c(person(given = "Miguel", 
            family = "Ferreiro-Díaz", 
            role = c("aut","cre"),
            email = "miguel.ferreiro.diaz@gmail.com"),
     person(given = "David", 
            family = "Ruano-Ordás",
            role = c("aut","ctr"),
            email = "drordas@uvigo.es"),
     person(given = "Tomás R.",
            family= "Cotos-Yañez",
            role = c("aut","ctr"),
            email = "cotos@uvigo.es"),
    person(given = "José Ramón",
            family= "Méndez Reboredo",
            role = c("aut","ctr"),
            email = "moncho.mendez@uvigo.es"),
     person(given = "University of Vigo", 
            role = c("cph")))
Description: 
        Provide a tool to easily build customized data flows to pre-process large volumes 
    of information from different sources. To this end, 'bdpar' allows to (i) easily use and 
    create new functionalities and (ii) develop new data source extractors according to the 
    user needs. Additionally, the package provides by default a predefined data flow 
    to extract and pre-process the most relevant information (tokens, dates, ... ) from some textual 
    sources (SMS, Email, YouTube comments).
Date: 2023-12-11
License: GPL-3
URL: https://github.com/miferreiro/bdpar
BugReports: https://github.com/miferreiro/bdpar/issues
Depends: R (>= 3.5.0)
Imports: digest, parallel, R6, rlist, tools, utils
Suggests: cld2, knitr, rex, rjson, rmarkdown, stringi, stringr,
        testthat (>= 2.3.1), tuber
VignetteBuilder: knitr
RoxygenNote: 7.2.3
SystemRequirements: Python (>= 2.7 or >= 3.6)
Encoding: UTF-8
NeedsCompilation: no
Collate: 'AbbreviationPipe.R' 'bdpar.log.R' 'wrapper.R' 'Bdpar.R'
        'BdparOptions.R' 'Connections.R' 'ContractionPipe.R'
        'DefaultPipeline.R' 'DynamicPipeline.R' 'ExtractorEml.R'
        'ExtractorFactory.R' 'ExtractorSms.R' 'ExtractorYtbid.R'
        'File2Pipe.R' 'FindEmojiPipe.R' 'FindEmoticonPipe.R'
        'FindHashtagPipe.R' 'FindUrlPipe.R' 'FindUserNamePipe.R'
        'GenericPipe.R' 'GenericPipeline.R' 'GuessDatePipe.R'
        'GuessLanguagePipe.R' 'Instance.R' 'InterjectionPipe.R'
        'MeasureLengthPipe.R' 'ResourceHandler.R' 'SlangPipe.R'
        'StopWordPipe.R' 'StoreFileExtPipe.R' 'TargetAssigningPipe.R'
        'TeeCSVPipe.R' 'ToLowerCasePipe.R' 'bdpar.Options.R'
        'bdparData.R' 'eml.R' 'emojisData.R' 'operator-pipe.R'
        'runPipeline.R' 'zzz.R'
Packaged: 2023-12-12 17:32:47 UTC; Maite
Author: Miguel Ferreiro-Díaz [aut, cre],
  David Ruano-Ordás [aut, ctr],
  Tomás R. Cotos-Yañez [aut, ctr],
  José Ramón Méndez Reboredo [aut, ctr],
  University of Vigo [cph]
Maintainer: Miguel Ferreiro-Díaz <miguel.ferreiro.diaz@gmail.com>
Repository: CRAN
Date/Publication: 2023-12-12 18:00:10 UTC
Built: R 4.6.0; ; 2026-04-01 01:11:05 UTC; windows
