p.js

const natural = require('natural');
const extract = require('article-parser').extract;

const run = (c, url) => {

    natural.BayesClassifier.load('classifier.json', null, async(err, classifier) => {

        if (err) {
            console.log(err);
            classifier = new natural.BayesClassifier();
        }

        const article = (await extract(url)).content;

        classifier.addDocument(article, c);

        classifier.train();

        const classifications = classifier.getClassifications(article);

        console.log(classifications);

        const cls = classifications.reduce((acc, v) => {
            acc[v.label] = v.value;
            return acc;
        }, {});

        await classifier.save('classifier.json');

        console.log('good:', cls['good'] > cls['bad'], 'as', (cls['good'] / cls['bad']));
    });


}

run(process.argv[2], process.argv[3]);

usage.sh

npm i natural -s
npm i article-parser -s

node p.js [bad/good] [url]