In this section, we're going to look at a technique for detecting YouTube comment spam using bags of words and random forests. The dataset is pretty straightforward. We'll use a dataset that has about 2,000 comments from popular YouTube videos (https://archive.ics.uci.edu/ml/datasets/YouTube+Spam+Collection). The dataset is formatted in a way where each row has a comment followed by a value marked as 1 or 0 for spam or not spam.
First, we will import a single dataset. This dataset is actually split into four different files. Our set of comments comes from the PSY-Gangnam Style video:
Then we will print a few ...
