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book-summary-comparator

v1.0.2

Published

The initial code extract keywords by books summary, rate each other by Dice's Coefficient algorithm.

Downloads

10

Readme

Top 1000 Books Summary Comparison

actual dataset is contains 518 books.

Install & Use

npm i -g book-summary-comparator
book-summary-comparator

How

Firstly find which document is which books.

Steps

  • Step 1: Gather which ref we have.
ls |grep "" > ref.txt # For unix
ls | grep "" > ref.txt # For linux
  • Step 2: Gather which book list we have.
// open https://www.edebiyatogretmeni.org/etiket/1000-roman-ozeti-indir/
// Execute this JS in browser console:
// Gather content.
const data = document.querySelectorAll('.entry-content p')[1].innerHTML.split('<br>').map(row => row.toLowerCase()).join('\n')
// Generate hidden input for copy to clipboard.
const dummyInput = document.createElement('input')
dummyInput.value = data;

/* Select the text field */
dummyInput.select();
dummyInput.setSelectionRange(0, 99999);

/* Copy the text inside the text field */
document.execCommand("copy"); // Ta-da! Copied your clipboard.

Paste into a ref.txt

echo `pbpaste` > list.txt

You have both list.txt and ref.txt

  • Step 2: Match the refs and list.
node match.js; # Match the books and refs. Left pad 00001 to 1.doc
node extract.js # Extract data accordingly 1.doc to 1.txt
  • Step 3: Generate db.json

Just loop over database then fs.writeFileSync..

  • Step 4: Compare books with other books. Big O (n^2)

Thankfully Node.js and JS, any loop is parallel executed by default. Does not needed any parallelisation process.

node magic.js # Comparison algorithm is: Dice's Coefficient.
# Generates two indexed JSON. case_1, case_2

Other staffs are for build CLI :)

Cheers, Cagatay Cali.