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Bayesian ideal points of French politicians, based on Twitter data.
Check MEP accounts against this new dataset of EP Twitter accounts.
The politicians x followers matrix might be better compressed by using Matrix::sparseMatrix
(as in this script) instead of Matrix::Matrix
. The current code is efficient enough, though.
We need to plan for a massive update… or decide that we definitely stop our data collection efforts just before it.
@florence-nocca suggests that we take a look at the data collected by @tmtmtmtm and others at EveryPolitician, to see whether it can be useful to improve our own (French) politicians data
EveryPolitician has data for terms 12, 13 and 14 of the National Assembly:
Suggestion by @RouxRC:
we reinclude both these twitter accounts and financial affiliation (also beware: this is only a financial one, not a party one, some finance other parties than their own) in the main API, you should probably rather get http://nosdeputes.fr/deputes/csv and http://nossenateurs.fr/senateurs/csv which contain both
http://abel.lis.illinois.edu/cgi-bin/genni/nameprediction.cgi?name=Bo
https://bitbucket.org/mdredze/demographer/src/master/
Recommended at https://twitter.com/aaronclauset/status/1149085117198897153 (which advocates against genderize.io).
Suggestion by @blaquans:
je lis "Geocodes from Google Maps." pourquoi ne pas utiliser la @BaseAdresse http://frama.link/ban ?
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