rm(list=ls())
source("R/text_mining.R")
source("R/verify.R")
load("data/congress_info.RData")
# Getting tweets from the senators
tmp <- sapply(twitter_accounts_house, "[",1)
n <- length(tmp)
congress_tweets <- vector("list",n)
for (s in 1:n) {
# Getting the info
congress_tweets[[s]] <- tw_api_get_timeline(tmp[s],count=2000)
if (!(s %% 10)) save.image("data/house_tweets_example.RData")
message(sprintf("%03d of %03d",s,n)," Representative ",representatives$Name[s]," done...")
}
congress_tweets <- bind_rows(congress_tweets)
class(congress_tweets) <- 'data.frame'
save(congress_tweets,file="data/house_tweets_example.RData")
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