Analysing Google Plus posts using R language #rstats

Here is a short post in retrieving information from the Google+ API using R, and then analysing it.

To create an API key:

Go to the Google Developers Console.
Create or select a project.
In the sidebar on the left, select APIs & auth.
In the displayed list of APIs, find the Google+ API and set its status to ON.
In the sidebar on the left, select Credentials.
Create an API key by clicking Create New Key. Select the appropriate kind of key: Server key Then clickCreate.

from- https://developers.google.com/+/api/oauth

and the R code

#install.packages("plusser")
library(plusser)
help(plusser)
library(RCurl)
options(RCurlOptions = list(cainfo = system.file("CurlSSL", "cacert.pem", package = "RCurl")))
setAPIkey('AIzaSyBtYqDsAtzp4FOS7FGbrc_n6mD-uJIOvcQ')
myProfile=harvestProfile("+AjayOhri", parseFun = parseProfile)
str(myProfile)
myposts=harvestPage("+AjayOhri", parseFun = parsePost, results = 1, nextToken = NULL, cr = 1)
str(myposts)
head(myposts)
plot(myposts$ti,myposts$nC) #number of comments
plot(myposts$ti,myposts$nP) #number of likes or plus 1
plot(myposts$ti,myposts$nR) #number of reshares

some screenshots and images 



You can also see the Rpubs document here http://rpubs.com/decisionstats2/plusser Now you can do text analysis and sentiment analysis on myposts$msg and do social media analysis on what makes people like what kind of content. 


For better results, use a google plus id (page or person) which has a lot of PUBLIC posts!