Package: jiebaRS 0.3.0
jiebaRS: Chinese Text Segmentation, POS Tagging, and Keyword Extraction
Provides fast Chinese text segmentation, keyword extraction via 'TF-IDF' and 'TextRank', and part-of-speech tagging, powered by a 'Rust' backend ('jieba-rs'). Supports custom dictionaries, user words, stop words, IDF files, and HMM models, with parallel batch processing of multiple strings. Serves as a modern, maintained replacement for the 'jiebaR' package.
Authors:
jiebaRS_0.3.0.tar.gz
jiebaRS_0.3.0.zip(r-4.7-x86_64)jiebaRS_0.3.0.zip(r-4.7-arm64)jiebaRS_0.3.0.zip(r-4.6-x86_64)jiebaRS_0.3.0.zip(r-4.6-arm64)jiebaRS_0.3.0.zip(r-4.5-x86_64)
jiebaRS_0.3.0.tgz(r-4.6-x86_64)jiebaRS_0.3.0.tgz(r-4.6-arm64)jiebaRS_0.3.0.tgz(r-4.5-x86_64)jiebaRS_0.3.0.tgz(r-4.5-arm64)
jiebaRS_0.3.0.tar.gz(r-4.7-arm64)jiebaRS_0.3.0.tar.gz(r-4.7-x86_64)jiebaRS_0.3.0.tar.gz(r-4.6-arm64)jiebaRS_0.3.0.tar.gz(r-4.6-x86_64)
jiebaRS_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
jiebaRS/json (API)
| # Install 'jiebaRS' in R: |
| install.packages('jiebaRS', repos = c('https://community.r-multiverse.org', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yousa-mirage/jiebars/issues
Pkgdown/docs site:https://yousa-mirage.github.io
- stopwords_cn - Built-in stopword lists
- stopwords_en - Built-in stopword lists
- stopwords_full - Built-in stopword lists
Last updated from:753cd1165d (on v0.3.0). Checks:15 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 176 | ||
| linux-devel-x86_64 | OK | 236 | ||
| source / vignettes | OK | 306 | ||
| linux-release-arm64 | OK | 177 | ||
| linux-release-x86_64 | OK | 190 | ||
| macos-release-arm64 | OK | 139 | ||
| macos-release-x86_64 | OK | 287 | ||
| macos-oldrel-arm64 | OK | 192 | ||
| macos-oldrel-x86_64 | OK | 408 | ||
| windows-devel-arm64 | OK | 298 | ||
| windows-devel-x86_64 | OK | 258 | ||
| windows-release-arm64 | OK | 294 | ||
| windows-release-x86_64 | OK | 286 | ||
| windows-oldrel-x86_64 | OK | 252 | ||
| wasm-release | OK | 192 |
Exports:add_wordcount_ngramsfilter_segmentfreqget_idfimport_cidiankeywordskeywords_dfnew_user_wordread_cidiansegmentsegment_batchtaggingtagging_batchtextranktextrank_dfworker
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Count n-grams from segmented text | count_ngrams |
| Filter segmentation results | filter_segment |
| The frequency of words | freq |
| Generate IDF dict | get_idf |
| Import an input-method dictionary into a worker | import_cidian |
| Extract keywords from text | keywords |
| Extract keywords as a data frame | keywords_df |
| Add user word | add_word new_user_word |
| Read an input-method dictionary as a data frame | read_cidian |
| Segment text with a jieba worker | segment |
| Segment a batch of strings | segment_batch |
| Built-in stopword lists | stopwords stopwords_cn stopwords_en stopwords_full |
| Tag text with a jiebaRS worker | tagging |
| Tag a batch of strings | tagging_batch |
| Extract TextRank keywords from text | textrank |
| Extract TextRank keywords as a data frame | textrank_df |
| Initialize a jiebaRS worker | worker |
