> Can it also write natural language text based on data inputs?

from the features list it doesn't seem to.

What you're referring to is text generated using a Markov Chain algorithm. This will generate text that seems at first glance to be human generated. On closer inspection you'll find that it only follows common linguistic patterns, the actual content is gibberish.

This sounds interesting. Can you specify an example usecase (what would be the input data and how would generated natural language look like), and I will try to see if I can do it.

For example, financial data would be used as input to generate a daily stock market overview. Something along the lines of:

"Today, the Dow hit a high of 16,200, marking the first time it has crossed the 16,000 barrier. blah blah blah, etc"

Basically, use data points to create a market overview where readers wouldn't know that it was computer generated. That's one idea.

I think the only use case is spam. But it's a big one.

Natural language generation is also an NLP task, but this particular library doesn't seem to tackle it at the moment.