Learning how to use R Studio, R and then all the libraries and functions inside it can be hell(ish). But there’s good little ways to search your Twitter data for whatever you’re looking for, and give you some instant satisfaction in the process.
You will need to install the following packages and then load the libraries of:
Assuming you’ve got your data pulled off twitter and saved into a data frame so you can access it and it’s in a structured format, you can then begin the search process by using the following code:
#find a word in a df of twitter data
abuse_tweets <- filter(tweets.df, grepl(“abuse”, text))
This code uses the function filter() and inside it the grepl function which then looks for whatever keyword you want inside the double citation marks ” ” and you want to be looking inside the text field so you use the term text. You can then call the tally function and pass the tweets you’ve just searched through into it and it will return the result.
My result looks like this:
n 1 4
This says n is the number of tweets returned and that number is 4. The grepl function returns a true or false answer and so counts the number of true or false responses. The grep school of functions are known as pattern matching and replacement functions or instructions to search and/or replace text or data.
The documentation for each package you use is invaluable. In this case: