If any of your research questions are similar to the ones above, topic modeling is an excellent method to use. A general topic modeling project begins like this:
Gather your data. Topic modeling works best with a large data set. So whether you have four extremely long works, or thousands of shorter works, the more data you have to work with, the better.
Structure your data. Most topic modeling platforms require you to save your data in .txt files. This could mean having separate .txt files for each document, or combining all of your documents into one massive file.If you're going the individual file route, be sure to maintain a consistent file naming schema to keep your data organized.
Choose your topic modeling platform.As topic modeling is based on an algorithm, what platform you use determines the amount of control you have over your topic model. Voyant, an online text analysis platform, allows you a fair amount of control over your topic distribution and frequency. MALLET's GUI interface offers little to no manipluation of topics, while its command line-based software offers several ways to edit the topic model command.
Run your topic models!
