I would imagine to lesser extent government policy changes and news articles, and to larger extent online discussions on topics relevant to these instruments. Models then attempt to extract signals with predictive value from all the noise. Probably contains non-trivial amount of history to correlate words to market performance in the past, say 20 years or more.

But it's really just a guess, I haven't worked in this domain.