tidytext extract url r
sources <- tweets %>%
group_by(source) %>%
count() %>%
arrange(-n)tidytext extract url r
sources <- tweets %>%
group_by(source) %>%
count() %>%
arrange(-n)tidytext extract url r
library(tidyverse)
library(tidytext)
library(lubridate)
library(stringr)
library(httr)
google_sheet_csv <- '' #insert URL of published CSV file from TAGS archive Google sheet
tweets <- read_csv(google_sheet_csv,
col_types = 'ccccccccccccciiccc') %>%
mutate(date = mdy(paste(substring(created_at, 5, 10), substring(created_at, 27 ,30))))
source_text <- '#americafirst'
minimum_occurrences <- 5 # minimum number of occurrences to include in outputCopyright © 2021 Codeinu
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