Reddit reviews Text Analysis with R for Students of Literature (Quantitative Methods in the Humanities and Social Sciences)

Yo, I'm not getting that image, but at a base level I can tell you this -

1. I don't know you if you know any R or Python, but there are good NLP (Natural Language Processing) libraries available for both
   
   Here's a good book for Python: http://www.nltk.org/book/
   
   A link to some more: http://nlp.stanford.edu/~manning/courses/DigitalHumanities/DH2011-Manning.pdf
   
   And for R, there's http://www.springer.com/us/book/9783319207018
   and
   https://www.amazon.com/Analysis-Students-Literature-Quantitative-Humanities-ebook/dp/B00PUM0DAA/ref=sr_1_9?ie=UTF8&qid=1483316118&sr=8-9&keywords=humanities+r
   
   There's also this https://www.amazon.com/Mining-Social-Web-Facebook-LinkedIn/dp/1449367615/ref=asap_bc?ie=UTF8 for web scraping with Python
   
   I know the R context better, and using R, you'd want to do something like this:
   
   
2. Scrape a bunch of sites using the R library 'rvest'
   
3. Put everything into a 'Corpus' using the 'tm' library
   
4. Use some form of clustering (k-nearest neighbor, LDA, or Structural Topic Model using the libraries 'knn', 'lda', or 'stm' respectively) to draw out trends in the data
   
   And that's that!