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Efforts are made to make Chinese text mining easier, faster, and robust to errors. Document term matrix can be generated by only one line of code; detecting encoding, segmenting and removing stop words are done automatically. Some convenient tools are also supplied.
| Version: | 0.2.3 |
| Depends: | R (≥ 3.6.0) |
| Imports: | jiebaR, NLP, tm (≥ 0.7), stringi, slam (≥ 0.1-37), Matrix, purrr |
| Published: | 2020-09-11 |
| Author: | Jiang Wu [aut, cre] (from Capital Normal University) |
| Maintainer: | Jiang Wu <textidea at sina.com> |
| License: | GPL-3 |
| URL: | https://github.com/githubwwwjjj/chinese.misc/blob/master/README.md |
| NeedsCompilation: | no |
| CRAN checks: | chinese.misc results |
| Reference manual: | chinese.misc.pdf |
| Package source: | chinese.misc_0.2.3.tar.gz |
| Windows binaries: | r-devel: chinese.misc_0.2.3.zip, r-release: chinese.misc_0.2.3.zip, r-oldrel: chinese.misc_0.2.3.zip |
| macOS binaries: | r-release (arm64): chinese.misc_0.2.3.tgz, r-oldrel (arm64): chinese.misc_0.2.3.tgz, r-release (x86_64): chinese.misc_0.2.3.tgz, r-oldrel (x86_64): chinese.misc_0.2.3.tgz |
| Old sources: | chinese.misc archive |
| Reverse imports: | LDABiplots, LDAShiny |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.