Say I want to predict the price of a gemstone based on its colour.
I have two options:
- averaging over its colour on an RGB scale, or
- using its textual description.
If I was to choose the latter, how would I go about feeding this to my neural network?
Priori knowledge: Usually a gemstone is defined by its colour and the "degree" of this colour: Example fancy bright green.
Here I could obviously let every combination of colour and degree be its own value in the one-hot vector. To implement this I could use some sort of hash function, if this makes sense, how specifically would I make a hash function that could do this?
If this solution doesn't make sense, what would you suggest?
Tough example of data: "Natural Fancy Deep Yellowish Brown"