Setup | Normalizing text | A tidy tokenization | Removing stopwords | Keywords and TF-IDF | Sentiment | N-grams, lemmas, and concordances | Teaching the analyzer new words
Package: RmecabKo 0.3.0
RmecabKo: Korean Text Analysis with 'MeCab'
A Korean text-analysis layer over the 'MeCab' morphological analyzer. Provides tokenizers that follow the 'tokenizers' contract for use with 'tidytext', morpheme-aware n-grams, a curated Korean stopword table, access to the KNU sentiment lexicon, friendly user-dictionary management, predicate lemmatization, keyword extraction, keyword-in-context concordances, and light text normalization. The native 'MeCab' interface and dictionary compilation are provided by 'RcppMeCab'.
Authors:
RmecabKo_0.3.0.tar.gz
RmecabKo_0.3.0.zip(r-4.7-x86_64)RmecabKo_0.3.0.zip(r-4.6-x86_64)RmecabKo_0.3.0.zip(r-4.5-x86_64)
RmecabKo_0.3.0.tgz(r-4.6-x86_64)RmecabKo_0.3.0.tgz(r-4.6-arm64)RmecabKo_0.3.0.tgz(r-4.5-x86_64)RmecabKo_0.3.0.tgz(r-4.5-arm64)
RmecabKo_0.3.0.tar.gz(r-4.7-arm64)RmecabKo_0.3.0.tar.gz(r-4.7-x86_64)RmecabKo_0.3.0.tar.gz(r-4.6-arm64)RmecabKo_0.3.0.tar.gz(r-4.6-x86_64)
RmecabKo_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RmecabKo/json (API)
| # Install 'RmecabKo' in R: |
| install.packages('RmecabKo', repos = c('https://junhewk.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/junhewk/rmecabko/issues
Datasets:
- demo_ko - Korean demonstration sentences
- stopwords_ko - Korean stopword table
Last updated from:2064b1b5a4. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 156 | ||
| linux-devel-x86_64 | OK | 174 | ||
| source / vignettes | OK | 218 | ||
| linux-release-arm64 | OK | 163 | ||
| linux-release-x86_64 | OK | 163 | ||
| macos-release-arm64 | OK | 125 | ||
| macos-release-x86_64 | OK | 293 | ||
| macos-oldrel-arm64 | OK | 114 | ||
| macos-oldrel-x86_64 | OK | 335 | ||
| windows-devel | OK | 121 | ||
| windows-release | OK | 123 | ||
| windows-oldrel | OK | 130 | ||
| wasm-release | OK | 146 |
Exports:dict_add_wordsdict_compiledict_pathdict_remove_wordsdict_usedict_wordsinstall_mecabkeywords_textrankkeywords_tfidfkwiclemmatize_morphemeslexicon_knunounsposstopwords_ko_tagsstopwords_ko_wordstext_normalizetoken_lemmatoken_morphtoken_ngramstoken_nounstoken_wordswords
Dependencies:BHRcppRcppMeCabRcppParallelstringi
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Korean demonstration sentences | demo_ko |
| Manage a MeCab user dictionary from R | dict_add_words dict_compile dict_path dict_remove_words dict_use dict_words |
| Deprecated MeCab installer | install_mecab |
| Keyword extraction with TextRank | keywords_textrank |
| Keyword extraction with TF-IDF | keywords_tfidf |
| Keyword-in-context concordance | kwic |
| Recover dictionary forms of Korean predicates | lemmatize_morphemes |
| Korean sentiment lexicon (KNU) | lexicon_knu |
| Extract Korean nouns | nouns |
| Korean part-of-speech tagging | pos |
| Korean stopword table | stopwords_ko |
| Korean stopword POS tags | stopwords_ko_tags |
| Korean stopword surfaces | stopwords_ko_words |
| Normalize Korean text before tokenizing | text_normalize |
| Tokenize Korean text into predicate dictionary forms | token_lemma |
| Korean morpheme tokenizers | token_morph token_nouns token_words |
| Korean morpheme n-grams and skip-grams | token_ngrams |
| Extract Korean content words | words |
