aws.comprehend is a package for natural language processing.
To use the package, you will need an AWS account and to enter your credentials into R. Your keypair can be generated on the IAM Management Console under the heading Access Keys. Note that you only have access to your secret key once. After it is generated, you need to save it in a secure location. New keypairs can be generated at any time if yours has been lost, stolen, or forgotten. The aws.iam package profiles tools for working with IAM, including creating roles, users, groups, and credentials programmatically; it is not needed to use IAM credentials.
A detailed description of how credentials can be specified is provided at: https://github.com/cloudyr/aws.signature/. The easiest way is to simply set environment variables on the command line prior to starting R or via an Renviron.site or .Renviron file, which are used to set environment variables in R during startup (see ? Startup). They can be also set within R:
Sys.setenv("AWS_ACCESS_KEY_ID" = "mykey",
"AWS_SECRET_ACCESS_KEY" = "mysecretkey",
"AWS_DEFAULT_REGION" = "us-east-1",
"AWS_SESSION_TOKEN" = "mytoken")Here are some simple code examples:
library("aws.comprehend")
# simple language detection
detect_language("This is a test sentence in English")## LanguageCode Score
## 1 en 0.9729235# multi-lingual language detection
detect_language("A: ¡Hola! ¿Como está, usted? B: Bien, merci. Et toi?")## LanguageCode Score
## 1 fr 0.7126021
## 2 es 0.2452095## Index Sentiment Mixed Negative Neutral Positive
## 1 1 POSITIVE 1.21042e-06 5.316024e-05 0.0003428663 0.9996029# named entity recognition
txt <- c("Amazon provides web services.", "Jeff is their leader.")
detect_entities(txt)## Index BeginOffset EndOffset Score Text Type
## 1 0 0 6 0.9999992 Amazon ORGANIZATION
## 2 1 0 4 1.0000000 Jeff PERSON## Index BeginOffset EndOffset Score Text
## 1 0 0 6 1 Amazon
## 2 1 16 28 1 web services
## 3 0 0 4 1 Jeff
## 4 1 8 20 1 their leader## Index BeginOffset EndOffset PartOfSpeech.Score PartOfSpeech.Tag Text TokenId
## 1 1 0 3 0.9999670 DET The 1
## 2 1 4 9 0.9966556 ADJ quick 2
## 3 1 10 13 0.9957780 NOUN fox 3
## 4 1 14 19 0.8895551 VERB jumps 4
## 5 1 20 24 0.9910401 ADP over 5
## 6 1 25 28 0.9999968 DET the 6
## 7 1 29 33 0.9885939 ADJ lazy 7
## 8 1 34 37 0.9999415 NOUN dog 8
## 9 1 37 38 0.9999982 PUNCT . 9# medical entity detection
medical_txt <- "Pt is 40yo mother, highschool teacher. HPI : Sleeping trouble on present dosage of Clonidine."
detect_medical_entities(medical_txt)## Index BeginOffset Category EndOffset Id Score Text Traits Type
## 1 1 6 PROTECTED_HEALTH_INFORMATION 10 0 0.9982511 40yo NULL AGE
## 2 1 19 PROTECTED_HEALTH_INFORMATION 37 1 0.4113526 highschool teacher NULL PROFESSION
## 3 1 45 MEDICAL_CONDITION 61 3 0.7587468 Sleeping trouble SYMPTOM, 0.52603405714035 DX_NAME
## 4 1 83 MEDICATION 92 2 0.9932888 Clonidine NULL GENERIC_NAME## Index BeginOffset Category EndOffset Id Score Text Traits Type
## 1 1 6 PROTECTED_HEALTH_INFORMATION 10 0 0.9982511 40yo NULL AGE
## 2 1 19 PROTECTED_HEALTH_INFORMATION 37 1 0.4113526 highschool teacher NULL PROFESSIONAll of the functions accept either a single character string or a character vector.
This package is not yet on CRAN. To install the latest development version you can install from the cloudyr drat repository:
# latest stable version
install.packages("aws.comprehend", repos = c(cloudyr = "http://cloudyr.github.io/drat", getOption("repos")))Or, to pull a potentially unstable version directly from GitHub:
if (!require("remotes")) {
install.packages("remotes")
}
remotes::install_github("cloudyr/aws.comprehend")