Tools to clean and process text. Tools are geared at checking for substrings that are not optimal for analysis and replacing or removing them (normalizing) with more analysis friendly substrings (see Sproat, Black, Chen, Kumar, Ostendorf, & Richards (2001) <doi:10.1006/csla.2001.0169>) or extracting them into new variables. For example, emoticons are often used in text but not always easily handled by analysis algorithms. The replace_emoticon() function replaces emoticons with word equivalents.
Version: 0.9.3 Depends: R (≥ 3.4.0) Imports: data.table, english (≥ 1.0-2), glue (≥ 1.3.0), lexicon (≥ 1.0.0), mgsub (≥ 1.5.0), qdapRegex, stringi, textshape (≥ 1.0.1), utils Suggests: testthat Published: 2018-07-23 DOI: 10.32614/CRAN.package.textclean Author: Tyler Rinker [aut, cre], ctwheels StackOverflow [ctb] Maintainer: Tyler Rinker <tyler.rinker at gmail.com> BugReports: https://github.com/trinker/textclean/issues License: GPL-2 URL: https://github.com/trinker/textclean NeedsCompilation: no Citation: textclean citation info Materials: README NEWS CRAN checks: textclean results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=textclean to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4