Letâs call it an ad hoc ensemble method, using three APIs. Iâm not sure what exactly they have under the hood, though one of them appeared to be AFINN junk so I underweighted it.
v1âs going to be super naive e.g. search string -> see how often each alignment used by context -> filter by player, show a playerâs post frequency and length are per alignment etc.
No learning just brute force.
Probably eventually makes sense to look at stuff with https://nlp.stanford.edu/projects/glove/ etc. but thatâll be pretty far from now. Need to get automation and tracking stuff done before we can do most of this.
If you have any suggestions for what should be running behind the hood lemme know. Havenât kept up with nlp stuff at all post graduation.
Thumbs up for Python! That would be my preference as well.
Have you looked at some of the NLP APIs out there? You can do quite a bit of free traffic with Google, IBM, etc. Obviously there would be some privacy concerns, but maybe thatâs not an issue.
We want to make it so that the siteâs games are an easy to use dataset for people who want to play around with it (technical or otherwise) so Iâm glad thereâs enthusiasm for this sort of thing.
i couldnât remember how to spell analysis for the life of me until some pointed out that I should just remember it was anal. Never got it wrong since.
Sounds interesting but it also has the potential to have an IIoA effect on some of us in situations where we canât rely on it, if we get used to it first.