In trinker/entity: Named Entity Recognition

desc <- suppressWarnings(readLines("DESCRIPTION"))
regex <- "(^Version:\\s+)(\\d+\\.\\d+\\.\\d+)"
loc <- grep(regex, desc)
ver <- gsub(regex, "\\2", desc[loc])
verbadge <- sprintf('<a href="https://img.shields.io/badge/Version-%s-orange.svg"><img src="https://img.shields.io/badge/Version-%s-orange.svg" alt="Version"/></a></p>', ver, ver)
````

[![Project Status: Active - The project has reached a stable, usable state and is being actively developed.](http://www.repostatus.org/badges/0.1.0/active.svg)](http://www.repostatus.org/#active)
[![Build Status](https://travis-ci.org/trinker/entity.svg?branch=master)](https://travis-ci.org/trinker/entity)
[![Coverage Status](https://coveralls.io/repos/trinker/entity/badge.svg?branch=master)](https://coveralls.io/r/trinker/entity?branch=master)
`r verbadge`

```r
library(knitr)
knit_hooks$set(htmlcap = function(before, options, envir) {
  if(!before) {
    paste('<p class="caption"><b><em>',options$htmlcap,"</em></b></p>",sep="")
    }
    })
knitr::opts_knit$set(self.contained = TRUE, cache = FALSE)
knitr::opts_chunk$set(fig.path = "tools/figure/")

entity is wrapper to simplify and extend NLP and openNLP named entity recognition. The package contains 6 entity extractors that take a text vector and return a list of vectors of named entities. The entity extractors include:

1. person_entity
2. location_entity
3. organization_entity
4. date_entity
5. money_entity
6. percent_entity

Installation

To download the development version of entity:

Download the zip ball or tar ball, decompress and run R CMD INSTALL on it, or use the pacman package to install the development version:

if (!require("pacman")) install.packages("pacman")
pacman::p_load_gh("trinker/entity")

Contact

You are welcome to: submit suggestions and bug-reports at: https://github.com/trinker/entity/issues send a pull request on: https://github.com/trinker/entity/ * compose a friendly e-mail to: [e-mail]

Examples

The following examples demonstrate some of the functionality of termco.

Load the Package/Data

library(entity)

I will demonstrate the 6 annotators on this Wikipedia excerpt about Bell Labs (plus one non Wikipedia line at the end).

data(wiki)
wiki

Entity Extractors

Person Entities

person_entity(wiki)

Location Entities

location_entity(wiki)

Organization Entities

organization_entity(wiki)

Date Entities

date_entity(wiki)

Money Entities

money_entity(wiki)

Percent Entities

percent_entity(wiki)

Plotting

organizations <- organization_entity(presidential_debates_2012$dialogue)
plot(organizations)

You can include only entities above a minimum frequency (min = n) as shown below:

plot(organizations, min = 2)

The user may wish to view the entities alphabetically rather than by frequency. Use alphabetical = TRUE to accomplish this:

plot(organizations, alphabetical = TRUE)

trinker/entity documentation built on May 31, 2019, 8:43 p.m.