Lexos Visualization Presentation

Starting my visualization exploration, I started by generating a Multicloud in Lexos, to see what would appear as important in all three texts.

Because Lexos does not come equipped with a bank of stopwords (at least that I could find), I had to insert my own stopwords, which made it tougher to narrow down the texts to words of interest. However, I did start to notice something. In order to check, I broke this multicloud up and checked the word cloud for each individual set of texts.

Seeing the visualization in more detail, I've started to notice that there are two distinct settings/themes: urban and nature. This was confirmed by looking at the following Z-Scores for each of the texts.

Z-Score Statistics

Seeing the prevalence of the urban and nature as the top two scoring z-scores of all three texts in some way, I started exploring other possible connections, and I found this:

This is, generally, just a bubble version of the word cloud for the entire corpus, but looking through it I found words that I had not noticed before. In particular, author names jumped out like Shakespeare and Jonson. This made me wonder if Eliot was at all influenced by previous authors like Shakespeare and Jonson in the development of his themes and of his poems. This was an angle I had not previously considered, since I was thinking of Eliot as a modernist poet who kept himself separate from those who came before him. The appearance of these names may well be caused by editor notes that I failed to clean up, but at the very least this is something that I think can and should be explored, since it could bring forward a new perspective on Eliot (unless of course these connections are already known).