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NLP Research: The rise of virtual kitchens within the food delivery service industry has generated concerns about food quality and transparency in the virtual dining market. Using NLP we aim to accurately tag ghost kitchens on these platforms

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nlp-research

Final Paper

NLP-Paper.pdf

Scripts

Run both scripts with npm run dev in the uber-eats-scraper directory.

To run the script that gets URLs

FIRST MAKE SURE YOU CLEAR THE EXISTING CONTENTS OF scraped_urls.txt Change the URL that you're scraping on to use a URL on uber eats that is searching in the correct location. Then run:

npm run url

Edit the index.ts file line:

const fileName = "scraped_data_<NAME>.json";

As well as the package.json file lines

    "dev": "concurrently \"npx tsc --watch\" \"nodemon -q dist/index.js --ignore ./scraped_data_<NAME>.json\"",
    "url": "concurrently \"npx tsc --watch\" \"nodemon -q dist/urlScraper.js --ignore ./scraped_data_<NAME>.json\""

Then once the URLs are loaded into scraped_urls.txt, run:

npm run dev

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NLP Research: The rise of virtual kitchens within the food delivery service industry has generated concerns about food quality and transparency in the virtual dining market. Using NLP we aim to accurately tag ghost kitchens on these platforms

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