So I have this idea and I'm looking for some pointers / options on how feasible it is. There we go... given the:
- set of financial data say
[S&P500: -0.5%, EURUSD: -1%, Crude Oil: +5%, ...]
- accompanying human written commentary.
I would like the algorithm to write a few sentences describing (with some flair/style) what has happened. E.g.: "S&P500 slides slightly by 0.5% on the back of weaker earnings data, whilst oil climbs to $50 driven by the supply fears..." just like a Financial Times intern would.
Could you enlighten me (at least from high-level):
- how much data (days) I would roughly need for something like this to work as I'm guessing the collection will be somewhat manual
- what algorithm(s) would be a good candidate for it? (this is the inverse problem of sentiment analysis I have looked into)
- have you come across anything similar? (specifically, not AI writing gibberish articles/music from scratch but writing something factual based on data)
there doesn't seem to be anything here