Word Clouds 3 - Web Scraping

In this advanced tutorial, we cover creating an exploratory word cloud analysis from start to end. We talk through collecting data by scraping websites as well as cleaning and generating visualizations in Python. We will follow the 6-step Word Cloud Creation process outlined in Video 1 to create a word cloud comparing vaccine hesitancy conversation within the community as compared to public health communications. This video assumes some working knowledge of Python and Jupyter Notebook. See below for the supplemental materials that were referenced to support creating this analysis.

Supplementary materials

• Web Scraping 101

• How to Scrape Reddit

• Using NLTK to pre-process/clean data

• Using NLTK to generate bigram frequencies

• Generating word clouds in Python tutorial

• Using word cloud package in action

• Advanced tutorial for creating stylish word clouds

• Using WordClouds and N-grams to visualize text data