Node-NER (Named Entity Recognition) #

Node-NER uses Stanford's JAVA NER package to tag the entities in the text, then parse the output to extract the entities by type.

Installation ##

$3

First, you will need to download Stanford NER.

Direct link

Download page

Unzip anywhere, it doesn't matter.

Note: Don't forget to have your JRE up to date, and JAVA in your PATH.

You can make sure everything is set by opening a console, cd into the stanford-ner's directory then execute:
java -mx1500m -cp stanford-ner.jar edu.stanford.nlp.ie.crf.CRFClassifier -loadClassifier classifiers\english.all.3class.distsim.crf.ser.gz -textFile path-to-a-text-file.txt

$3

npm install node-ner

Code Example ##

var node_ner = require('node-ner');

var ner = new node_ner({
install_path: '/path/to/stanford-ner'
});

ner.fromFile('/path/to/a/file.txt', function(entities) {
console.log(entities);

/*
Output:
{
"ORGANIZATION": [
"Samsung Electronics Co Ltd",
"Microsoft",
"Apple"
],
"DATE": [
"Thursday"
],
"MONEY": [
"$ 2 billion"
]
}
*/
})

Limitations ##

You can only load from a file at this moment.
This package is under development, syntax and specs can change at any time.

License #

http://www.gnu.org/licenses/gpl-2.0.html