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poli-parse

v1.1.3

Published

Political news scraping & NLP parsing from web pages.

Downloads

7

Readme

Poli Parse

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GitHub issues David GitHub last commit

Political news scraping & NLP parsing from web pages.

Usage

To use this module, install from npm, install locally using the command below, or clone this repository and import the .js files directly from source.

npm i poli-parse

Imports

Imports can be done through the aggregating index.js file or via individual members.

Full Import

const PoliParse = require('./index.js'); // from source
const PoliParse = require('poli-parse') // from npm

// es6
import * as PoliParse from "../src"; // from source
import * as PoliParse from from "poli-parse"; // from npm

Individual Import

// from source
const Parse = require("./Parse");

const { Parse } = require("poli-parse");
import { Parse } from "poli-parse"; // es6

Methods

The collection below is just a sample of methods and may be out of date. For the most recent examples, please see the samples folder in the root directory of this repository.

Basic

Basic scrape/parse example.

const PP = require("../dist/index"); // import library

// hit the homepage of wsj.com
PP.Scrape.AllText("https://www.wsj.com/").then(data => {
  // filter out text that isn't longer than two words (likely not a sentence)
  const filtered = PP.Parse.FilterLength(data, 2);

  // split monolithic text from the html into more useful chunks
  const split = PP.Parse.SplitMonolithic(filtered);

  // find all texts which mention a specific subject
  const subject = PP.Parse.FilterSubject(split, [
    "Elizabeth",
    "Warren"
  ]);

  // see what headlines were found regarding the subject
  console.log(subject);
});

Advanced

More advanced scrape/parse example, with analysis logic added.

const PP = require("../dist/index"); // import library

PP.Scrape.AllText("https://www.wsj.com/").then(data => {
  let newData = PP.Parse.FilterLength(data, 2);
  newData = PP.Parse.SplitMonolithic(newData);
  newData = PP.Parse.FilterSubject(newData, ["Donald", "Trump"]);

  const results = newData.map(async headline => {
    const sentiment = await PP.Sentiment.Compute(headline);
    const pos = await PP.Language.ComputePOS(headline);
    return {
      headline,
      sentiment,
      pos
    };
  });
  Promise.all(results).then(completed => {
    console.log(completed);
  });
});

Commands

The following commands are available during development.

npm test # run tests with Jest
npm run coverage # run tests with coverage and open it on browser
npm run lint # lint code
npm run docs # generate docs
npm run build # transpile code