Extract user information
Analyzing twitter user data provides vital information which can be used to plan relevant promotional strategies.
User information contains data on the number of followers and friends of the twitter user.
The user information may have multiple instances of the same user as the user might have tweeted multiple times on a given subject. You need to take the mean values of the follower and friend counts in order to consider only one instance.
In this exercise, you will extract the number of friends and followers of users who tweet on #skincare or #cosmetics.
Tweets on #skincare or #cosmetics, extracted using search_tweets(), have been pre-loaded as tweet_cos.
The libraries rtweet and dplyr have also been pre-loaded.
Diese Übung ist Teil des Kurses
Analyzing Social Media Data in R
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
# Extract user information from the pre-loaded tweets data frame
user_cos <- ___(tweet_cos)
# View first 6 rows of the user data
head(___)