Performing Twitter Sentiment Analytics using R
In an earlier chapter, we saw how to perform Twitter sentiment analytics using Hive and Hadoop. In this recipe, we are going to take a look at how to do this using R.
Getting ready
To perform this recipe, you should have R installed on your machine. You should also have a Twitter account and an application that has an API key, API secret, Access Token, and an Access Secret with you so that you can receive tweets in real time.
How to do it...
To get started, first of all, we need to install certain R packages, which will be required in this recipe. The following are the commands:
>install.packages("twitteR")
>install.packages("plyr")
>install.packages("stringr")
>install.packages(c("devtools", "rjson", "bit64", "httr"))Once the installation is complete, load the following packages:
>library(devtools) >library(twitteR)
Next, we need to provide the keys provided that are by Twitter on its application page, as follows:
>api_key <...
