bdpar: Big Data Preprocessing Architecture (original) (raw)
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).
| Version: | 3.1.0 |
|---|---|
| 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 |
| Published: | 2023-12-12 |
| DOI: | 10.32614/CRAN.package.bdpar |
| 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 at gmail.com> |
| BugReports: | https://github.com/miferreiro/bdpar/issues |
| License: | GPL-3 |
| URL: | https://github.com/miferreiro/bdpar |
| NeedsCompilation: | no |
| SystemRequirements: | Python (>= 2.7 or >= 3.6) |
| Materials: | NEWS |
| CRAN checks: | bdpar results |
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