Account geo label inference

[lmeyerov]

Label each twitter account with label + confidence score for primary:

-- long/lat <-- just start here...
-- country
-- if US: state, zipcode, city/county (?)

Helpful info:
-- 1% of tweets have geo data
-- sample use case: "who was early/late to adopting Masks4All? who is currently resisting / not activating?"

Unclear: People move and have separate home/work... so how does recency play into it? Not really an issue during quarantine tho...