extract.recent.tweets: Connect to Mongo database and extract most recent tweets for...
In SMAPPNYU/smappR: Tools for analysis of Twitter data

Description Usage Arguments Details Author(s) Examples

extract.recent.tweets opens a connection to the Mongo database in the lab computer and will most recent tweets.

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extract.recent.tweets(set, limit = 100, fields = c("created_at",
  "user.screen_name", "text"), string = NULL, retweets = NULL,
  hashtags = NULL, verbose = TRUE)

`set`	string, name of the collection of tweets in the Mongo database to query.
`limit`	number of tweets to be returned. Default is 100, which will return 100 most recent tweets.
`fields`	vector of strings, indicates fields from tweets that will be returned. Default is the date and time of the tweet, its text, and the screen name of the user that published it. See details for full list of possible fields.
`string`	string or vector of strings, set to NULL by default (will return all recent tweets). If it is a string, it will return the number of tweets that contain that string. If it is a vector of string, it will return all tweets that contain at least one of them.
`retweets`	logical, set to NULL by default (will return all tweets). If `TRUE`, will return only tweets that are retweets (i.e. contain an embededed retweeted status - manual retweets are not included). If `FALSE`, will return only tweets that are not retweets (manual retweets are now included).
`hashtags`	logical, set to NULL by default (will return all tweets). If `TRUE`, will return only tweets that use a hashtag. If `FALSE`, will return only tweets that do not contain a hashtag.
`verbose`	logical, default is `TRUE`, which generates some output to the R console with information about the count of tweets.

The following is a non-exhaustive of relevant fields that can be specified on the fields argument (for a complete list, check the documentation at: https://dev.twitter.com/docs/platform-objects Tweet: text, created_at, id_str, favorite_count, source, retweeted, r retweet_count, lang, in_reply_to_status_id, in_reply_to_screen_name Entities: entities.hashtags, entities.user_mentions, entities.hashtags, entities.urls Retweeted_status: retweeted_status.text, retweeted_status.created_at... (and all other tweet, user, and entities fields) User: user.screen_name, user.id_str, user.geo_enabled, user.location, user.followers_count, user.statuses_count, user.friends_count, user.description, user.lang, user.name, user.url, user.created_at, user.time_zone Geo: geo.coordinates

Pablo Barbera pablo.barbera@nyu.edu

## Not run: 
## connect to the Mongo database
 mongo <- mongo.create("SMAPP_HOST:PORT", db="DATABASE")
 mongo.authenticate(mongo, username="USERNAME", password="PASSWORD", db="DATABASE")
 set <- "DATABASE.COLLECTION"

## extract text from 100 most recent tweets
 tweets <- extract.recent.tweets(set, limit=100, fields="text")

## extract 100 most recent tweets that mention turkey and gezi
 tweeets <- extract.recent.tweets(set, limit=100,
   string=c("turkey", "gezi"))

## End(Not run)