README.md

In hrbrmstr/sentimental: Tools to Work with the 'text-processing.com' API

sentimental : Tools to Work with the text-processing.com API.

If you have modest NLP needs, this API package provides an alternative to getting Java-based packages to work or performing processing on your local system.

NOTE: There is a limit of 1,000 API calls per day imposed by the API.

The following functions are implemented:

• part_of_speech: Part-of-peech tagging and chunking on text phrase_extract`: Phrase extraction & named entity recognition on text
• sentiment: Analyze the sentiment of text
• sentimental: Tools to Work with the 'text-processing.com' API
• stem: Perform word stemming on text

TODO

• CRAN
• S-expression parser (convert string to a list)

Installation

devtools::install_github("hrbrmstr/sentimental")

Usage

library(sentimental)
#> 
#> Attaching package: 'sentimental'
#> The following object is masked from 'package:graphics':
#> 
#>     stem

# current verison
packageVersion("sentimental")
#> [1] '0.0.0.9000'

Test Results

library(sentimental)
library(testthat)

date()
#> [1] "Sun Jul 24 08:01:36 2016"

sentiment("hi friend")
#> $probability
#> $probability$neg
#> [1] 0.4323145
#> 
#> $probability$neutral
#> [1] 0.8148469
#> 
#> $probability$pos
#> [1] 0.5676855
#> 
#> 
#> $label
#> [1] "neutral"

stem("interestingly enough they overwhelmingly supported the wrong candidate")
#> $text
#> [1] "interestingli enough they overwhelmingli support the wrong candid"

part_of_speech("hello world")
#> $text
#> [1] "(S hello/NN world/NN)"

phrase_extract("Maine is nice")
#> $text
#> [1] "(S (GPE Maine/NNP) is/VBZ nice/JJ)"

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

hrbrmstr/sentimental documentation built on May 17, 2019, 5:13 p.m.