Introduction | Starting a spacyr session | Tokenizing and tagging texts | Extracting language properties from texts | Using other language models | Integrating spacyr with other text analysis
packages | Finishing a session
Package: spacyr 1.3.1
Kenneth Benoit
spacyr: Wrapper to the 'spaCy' 'NLP' Library
An R wrapper to the 'Python' 'spaCy' 'NLP' library, from <https://spacy.io>.
Authors:
spacyr_1.3.1.tar.gz
spacyr_1.3.1.zip(r-4.7)spacyr_1.3.1.zip(r-4.6)spacyr_1.3.1.zip(r-4.5)
spacyr_1.3.1.tgz(r-4.6-any)spacyr_1.3.1.tgz(r-4.5-any)
spacyr_1.3.1.tar.gz(r-4.7-any)spacyr_1.3.1.tar.gz(r-4.6-any)
spacyr_1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
spacyr/json (API)
| # Install 'spacyr' in R: |
| install.packages('spacyr', repos = c('https://quanteda.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/quanteda/spacyr/issues
Pkgdown/docs site:https://spacyr.quanteda.io
Datasets:
- data_char_paragraph - A short paragraph of text for testing
- data_char_sentences - Sample short documents for testing
extract-entitiesnlpspacyspeech-tagging
Last updated from:877f35928b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 145 | ||
| source / vignettes | OK | 234 | ||
| linux-release-x86_64 | OK | 137 | ||
| macos-release-arm64 | OK | 87 | ||
| macos-oldrel-arm64 | OK | 74 | ||
| windows-devel | OK | 82 | ||
| windows-release | OK | 92 | ||
| windows-oldrel | OK | 72 | ||
| wasm-release | OK | 144 |
Exports:entity_consolidateentity_extractfind_spacyget_attrsget_dependencyget_named_entitiesget_noun_phrasesget_ntokensget_ntokens_by_sentget_tagsget_tokensnounphrase_consolidatenounphrase_extractprocess_documentspacy_download_langmodelspacy_download_langmodel_virtualenvspacy_extract_entityspacy_extract_nounphrasesspacy_finalizespacy_initializespacy_installspacy_install_virtualenvspacy_parsespacy_tokenizespacy_uninstallspacy_upgrade
Dependencies:data.tableherejsonlitelatticeMatrixpngrappdirsRcppRcppTOMLreticulaterlangrprojrootwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| An R wrapper to the spaCy NLP system | spacyr-package spacyr |
| A short paragraph of text for testing | data_char_paragraph |
| Sample short documents for testing | data_char_sentences |
| Extract or consolidate entities from parsed documents | entity_consolidate entity_extract |
| Extract or consolidate noun phrases from parsed documents | nounphrase_consolidate nounphrase_extract |
| Download spaCy language models | spacy_download_langmodel |
| Install a language model in a conda or virtual environment | spacy_download_langmodel_virtualenv |
| Extract named entities from texts using spaCy | spacy_extract_entity |
| Extract noun phrases from texts using spaCy | spacy_extract_nounphrases |
| Finalize spaCy | spacy_finalize |
| Initialize spaCy | spacy_initialize |
| Install spaCy in conda or virtualenv environment | spacy_install |
| Install spaCy to a virtual environment | spacy_install_virtualenv |
| Parse a text using spaCy | spacy_parse |
| Tokenize text with spaCy | spacy_tokenize |
| Uninstall the spaCy environment | spacy_uninstall |
| Shorthand function to upgrade spaCy | spacy_upgrade |
