Which insights a data scientist could derive from text-analysis?
Well, obviously the use cases depends on the industry. Also, I am assuming you are thinking of use cases that are somehow useful. But let's think of some examples:


I once worked with a book distributor that tagged each book they sold with keywords (Fantasy, Horror, etc). You can automate the tagging process if you have a sufficiently large dataset of already labeled books. You can do the same with your phrases (Inspiring, Funny, etc) but probably you don't have labeled data. It would be nice to be able to ask an app for a phrase of certain type :).
Something easier is sentiment analysis: are most of the phrases positive? Negative? You don't need labels for this.
Style transfer: maybe you have several phrases by, let's say, Shakespeare. You can try transferring his style to Einstein's phrases. This is hard but feasible: look up Generative Adversarial Networks.