Mastering Machine Learning for Penetration Testing

Spam detection with NLTK

Now it is time to build our spam detector using the NLTK. The principle of this type of classifier is simple; we need to detect the words used by spammers. We are going to build a spam/non-spam binary classifier using Python and the nltk library, to detect whether or not an email is spam. First, we need to import the library as usual:

>>> import nltk

We need to load data and feed our model with an emails dataset. To achieve that, we can use the dataset delivered by the Internet CONtent FIltering Group. You can visit the website at https://labs-repos.iit.demokritos.gr/skel/i-config/:

Basically, the website provides ...