Machine Learning Practice | DND Wiki Web-Scraper and Spell Semantic Analysis

Table of Contents

1. About The Project
   • Built With

About The Project

This is a personal repo for me to practice with web-scraping and NLP. This isn't anything Spectacular and is just for me to say "hey, I understand how it works. I basically look at a DND wiki to see if I can pull information about the spells for each class, and some rudimentary analysis is included.

• The Web Scraping is basically sifting through the data on the DND Wiki for the spells.
• The NLP is sentiment analysis to try and train a model to identify what class (evocation, necromancy, transmutation, etc) of a spell based on its description.

The info has been scraped from https://dnd5e.wikidot.com/. Thank you to the team <3.

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Built With

The code is predominantly built in Python; primarily Jupyter Notebooks. The Notebook has been run with the following libraries:

• Python [= 3.11.11]
• requests
• BeautifulSoup
• Matplotlib
• numpy
• collections
• nltk
• imblearn
• sklearn
• seaborn
• collections
• deep_translator

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