count_all_tweets: Count tweets from full archive search

In academictwitteR: Access the Twitter Academic Research Product Track V2 API Endpoint

Count tweets from full archive search

Description

This function returns aggregate counts of tweets by query string or strings between specified date ranges.

Usage

count_all_tweets(
  query = NULL,
  start_tweets,
  end_tweets,
  bearer_token = get_bearer(),
  n = 100,
  file = NULL,
  data_path = NULL,
  export_query = TRUE,
  bind_tweets = TRUE,
  granularity = "day",
  verbose = TRUE,
  ...
)

Arguments

query	string or character vector, search query or queries
start_tweets	string, starting date
end_tweets	string, ending date
bearer_token	string, bearer token
n	integer, upper limit of tweet counts to be fetched (i.e., for 365 days n must be at least 365). Default is 100.
file	string, name of the resulting RDS file
data_path	string, if supplied, fetched data can be saved to the designated path as jsons
export_query	If TRUE, queries are exported to data_path
bind_tweets	If TRUE, tweets captured are bound into a data.frame for assignment
granularity	string, the granularity for the search counts results. Options are "day"; "hour"; "minute". Default is day.
verbose	If FALSE, query progress messages are suppressed
...	arguments will be passed to build_query() function. See ?build_query() for further information.

Value

a data.frame

Examples

## Not run: 

count_all_tweets(query = "Hogmanay", 
          start_tweets = "2019-12-2700:00:00Z", 
          end_tweets = "2020-01-05T00:00:00Z", 
          bearer_token = get_bearer())
          
count_all_tweets(query = "Hogmanay", 
          start_tweets = "2019-12-27T00:00:00Z", 
          end_tweets = "2020-01-05T00:00:00Z", 
          bearer_token = get_bearer(),
          granularity = "hour",
          n = 500)

## End(Not run)

academictwitteR documentation built on March 18, 2022, 6:41 p.m.