const winkNLP = require( 'wink-nlp' ); const its = require( 'wink-nlp/src/its.js' ); // Use web model for RunKit. const model = require( 'wink-eng-lite-web-model' ); const nlp = winkNLP( model ); const text = 'Its quarterly profits jumped 76% to $1.13 billion for the three months to December, from $639million of previous year.'; const doc = nlp.readDoc( text ); // Print tokens. console.log( doc.tokens().out() ); // Print each token's type. console.log( doc.tokens().out( its.type ) ); // Print details of each entity. console.log( doc.entities().out( its.detail ) ); // Markup entities along with their type for highlighting them in the text. doc.entities().each( ( e ) => { e.markup( '<mark>', `<sub style="font-weight:900"> ${e.out(its.type)}</sub></mark>` ); } ); // Render them as HTML via RunKit doc.out( its.markedUpText );