https://github.com/mkearney/opinion.classifier

What the Package Does (One Line, Title Case)
https://github.com/mkearney/opinion.classifier

Last synced: 3 months ago
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What the Package Does (One Line, Title Case)

• Host: GitHub
• URL: https://github.com/mkearney/opinion.classifier
• Owner: mkearney
• License: other
• Created: 2019-10-28T18:02:27.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2019-10-28T18:14:20.000Z (about 5 years ago)
• Last Synced: 2024-05-21T02:11:36.835Z (6 months ago)
• Language: R
• Size: 4.88 KB
• Stars: 5
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

library(opinion.classifier)

options(width = 90)

```

# opinion.classifier

[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental)

[![CRAN status](https://www.r-pkg.org/badges/version/opinion.classifier)](https://CRAN.R-project.org/package=opinion.classifier)

[![Travis build status](https://travis-ci.org/mkearney/opinion.classifier.svg?branch=master)](https://travis-ci.org/mkearney/opinion.classifier)

[![AppVeyor build status](https://ci.appveyor.com/api/projects/status/github/mkearney/opinion.classifier?branch=master&svg=true)](https://ci.appveyor.com/project/mkearney/opinion.classifier)

A machine learning classification model for measuring opinion, or editorial, 

content in news text. The model was trained using editorial and news content 

from highly regarded, well-known journalism outlets.

## Installation

You can install the released version of opinion.classifier from [CRAN](https://CRAN.R-project.org) with:

``` r

install.packages("opinion.classifier")

```

or the development version from Github

``` r

remotes::install_github("mkearney/opinion.classifier")

```

## Example

Get opinion probability estimate 

```{r, eval=FALSE}

opinion.classifier::opinion_score(x)

```