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Language agnostic named entity recognizer
Recognize named entities in a sentence using wink-ner
. It is a part of wink — a growing family of high quality packages for Statistical Analysis, Natural Language Processing and Machine Learning in NodeJS.
Use npm to install:
npm install wink-ner --save
// Load wink ner.
var ner = require( 'wink-ner' );
// Create your instance of wink ner & use defualt config.
var myNER = ner();
// Define training data.
var trainingData = [
{ text: 'manchester united', entityType: 'club', uid: 'manu' },
{ text: 'manchester', entityType: 'city' },
{ text: 'U K', entityType: 'country', uid: 'uk' }
];
// Learn from the training data.
myNER.learn( trainingData );
// Since recognize() requires tokens, use wink-tokenizer.
var winkTokenizer = require( 'wink-tokenizer' );
// Instantiate it and extract tokenize() api.
var tokenize = winkTokenizer().tokenize;
// Tokenize the sentence.
var tokens = tokenize( 'Manchester United is a football club based in Manchester, U. K.' )
// Simply Detect entities!
myNER.recognize( tokens );
// -> [
// { entityType: 'club', uid: 'manu', originalSeq: [ 'Manchester', 'United' ], value: 'manchester united', tag: 'word' },
// { value: 'is', tag: 'word' },
// { value: 'a', tag: 'word' },
// { value: 'football', tag: 'word' },
// { value: 'club', tag: 'word' },
// { value: 'based', tag: 'word' },
// { value: 'in', tag: 'word' },
// { entityType: 'city', value: 'Manchester', tag: 'word', originalSeq: [ 'Manchester' ], uid: 'manchester' },
// { value: ',', tag: 'punctuation' },
// { entityType: 'country', uid: 'uk', originalSeq: [ 'U', '.', 'K' ], value: 'u k', tag: 'word' },
// { value: '.', tag: 'punctuation' }
// ]
Check out the named entity recognizer API documentation to learn more.
If you spot a bug and the same has not yet been reported, raise a new issue or consider fixing it and sending a pull request.
wink-ner is copyright 2017-18 GRAYPE Systems Private Limited.
It is licensed under the under the terms of the GNU Affero General Public License as published by the Free Software Foundation, version 3 of the License.
FAQs
Language agnostic named entity recognizer
We found that wink-ner demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 3 open source maintainers collaborating on the project.
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