I don't recall specifically where, but I've seen discussion that some quants use natural language reporting (like articles in investing publications, Wall Street Journal, Barron's, industry-specific newsletters, information from area-specific analysts, etc etc) as input into their trading algorithms. Does anybody know more about this? Examples of this being used, what sort of algorithms are used for NLP (it seems the deep learning area has risen into prominence in this above traditional syntactic/semantic/symbolic parsers).
I wasn't able to find much on text to proportional logic translation since 2011 but in the deep learning field things are quite active. See the Stanford NLP group for example.
But how is this then used in trading algorithms? Kind of like sentiment analysis, which judges some verbiage (from an expert analyst or trade publication or .....?) on a positive - negative continuum and treating this as a factor to add into the mix in making predictions?
Any more substantive contributions welcome....
I wasn't able to find much on text to proportional logic translation since 2011 but in the deep learning field things are quite active. See the Stanford NLP group for example.
But how is this then used in trading algorithms? Kind of like sentiment analysis, which judges some verbiage (from an expert analyst or trade publication or .....?) on a positive - negative continuum and treating this as a factor to add into the mix in making predictions?
Any more substantive contributions welcome....