Package: aws.comprehend 0.2.1.9000
aws.comprehend: Client for 'AWS Comprehend'
Client for 'AWS Comprehend' <https://aws.amazon.com/comprehend>, a cloud natural language processing service that can perform a number of quantitative text analyses, including language detection, sentiment analysis, and feature extraction.
Authors:
aws.comprehend_0.2.1.9000.tar.gz
aws.comprehend_0.2.1.9000.zip(r-4.5)aws.comprehend_0.2.1.9000.zip(r-4.4)aws.comprehend_0.2.1.9000.zip(r-4.3)
aws.comprehend_0.2.1.9000.tgz(r-4.4-any)aws.comprehend_0.2.1.9000.tgz(r-4.3-any)
aws.comprehend_0.2.1.9000.tar.gz(r-4.5-noble)aws.comprehend_0.2.1.9000.tar.gz(r-4.4-noble)
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aws.comprehend.pdf |aws.comprehend.html✨
aws.comprehend/json (API)
NEWS
# Install 'aws.comprehend' in R: |
install.packages('aws.comprehend', repos = c('https://cloudyr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cloudyr/aws.comprehend/issues
Last updated 5 years agofrom:d48c95542c. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 23 2024 |
R-4.5-win | OK | Oct 23 2024 |
R-4.5-linux | OK | Oct 23 2024 |
R-4.4-win | OK | Oct 23 2024 |
R-4.4-mac | OK | Oct 23 2024 |
R-4.3-win | OK | Oct 23 2024 |
R-4.3-mac | OK | Oct 23 2024 |
Exports:comprehendHTTPdetect_entitiesdetect_languagedetect_medical_entitiesdetect_medical_phidetect_phrasesdetect_sentimentdetect_syntax
Dependencies:askpassaws.signaturebase64enccurldigesthttrjsonlitemimeopensslR6sys
Readme and manuals
Help Manual
Help page | Topics |
---|---|
aws.comprehend | aws.comprehend-package aws.comprehend |
Bind and index a ResultList | bind_and_index |
Execute AWS Comprehend API Request | comprehendHTTP |
Detect named entities in a source text | detect_entities |
Detect language in a source text | detect_language |
Detect named entities in a source medical text | detect_medical_entities |
Detect Protected Health Information (PHI) in a source medical text | detect_medical_phi |
Detect key phrases | detect_phrases |
Detect sentiment in a source text | detect_sentiment |
Detect syntax in a source text | detect_syntax |
Flatten embedded data.frames (1 level max) | flatten |