Using stringr To Remove HTML

Kevin Feasel

2018-02-22

R

I have a quick post on removing HTML markup with stringr:

This is a quick post today on removing HTML tags using the stringr package in R.

My purpose here is in taking some raw data, which can include HTML markup, and preparing it for a vectorizer.  I don’t need the resulting output to look pretty; I just want to get rid of the HTML characters.

Click through for the script.  If you need to do something nice with the text afterward, my technique is probably too much sledgehammer for niceties, but it does the trick for pre-processing before vectorization.

Related Posts

Inline Operators In R With wrapr

John Mount shows how to use inline operators in R with the wrapr package: The above code is assuming you have the wrapr package attached via already having run library('wrapr'). Notice we picked R-related operator names. We stayed away from overloading the + operator, as the arithmetic operators are somewhat special in how they dispatch in R. The goal wasn’t […]

Read More

Feature And Text Classification Using Naive Bayes In R

I wrap up my series on the Naive Bayes class of algorithms, finally writing some code along the way: Now we’re going to look at movie reviews and predict whether a movie review is a positive or a negative review based on its words. If you want to play along at home, grab the data set, […]

Read More

Categories

February 2018
MTWTFSS
« Jan Mar »
 1234
567891011
12131415161718
19202122232425
262728