Introduction to the Enron email dataset (ham or spam)

The Enron dataset is a large collection of email data that has become a staple in the world of text analysis and machine learning. It’s like a vast library, filled with a diverse range of texts that offers a wealth of insights for those who know how to interpret them.

This dataset was originally made public during the legal investigation into Enron Corporation, a US energy company that collapsed in 2001 due to widespread corporate fraud. The dataset contains over 600,000 emails from about 150 users, mostly senior management of Enron, making it one of the only publicly available collections of real emails of its size.

For our purposes, the emails contained in the Enron dataset have been labeled as ham (legitimate) or spam (phishing). This labeling provides a valuable ground truth, allowing us to train and test models for phishing detection. Labeling tells us which emails are safe and which are dangerous, helping us to...