Using R to find Obama’s most frequent twitter hashtags

[This article was first published on Decisions and R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

I've been exploring Jeff Gentry's twitteR package, which has a ton of great functionality for intereacting with twitter data in R. Today, I thought a bit about a problem I've noticed several times on twitter: users profiles are often only noisy signals of the content they tweet about!

I decided that a table of a user's commonly-used tweets might give a better sense of the content a user tweets about. My code to extract the hashtags is below (note: you'll need to load the twitteR package, and complete the OAuth Authentication first.. if you're having trouble with this, try visiting this page)

Here's the code I used:

tw = userTimeline("BarackObama", cainfo = x1, n = 3200)
tw = twListToDF(tw)
vec1 = tw$text
 
extract.hashes = function(vec){
 
hash.pattern = "#[[:alpha:]]+"
have.hash = grep(x = vec, pattern = hash.pattern)
 
hash.matches = gregexpr(pattern = hash.pattern,
                        text = vec[have.hash])
extracted.hash = regmatches(x = vec[have.hash], m = hash.matches)
 
df = data.frame(table(tolower(unlist(extracted.hash))))
colnames(df) = c("tag","freq")
df = df[order(df$freq,decreasing = TRUE),]
return(df)
}
 
dat = head(extract.hashes(vec1),50)
dat2 = transform(dat,tag = reorder(tag,freq))
 
 
library(ggplot2)
 
p = ggplot(dat2, aes(x = tag, y = freq)) + geom_bar(fill = "blue")
p + coord_flip() + labs(title = "Hashtag frequencies in the tweets of the Obama team (@BarackObama)")

To leave a comment for the author, please follow the link and comment on their blog: Decisions and R.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)