Efi's Demo Lab
Research showcase

A policy-aware email pipeline

Rule-based policy checks, TF-IDF topic analysis, and XGBoost explore data loss prevention in the Enron corpus.

Inside the project

Research showcase
Aspose.Words.46bf1cf1 30aa 48db 8a5a b1f86a348137.002
Original artifact ↗

How it works.

Extract context

Identify organizational, geographic, role, and content attributes from email structure and text.

From the original project.

Saved artifacts · click to inspect

Aspose.Words.46bf1cf1 30aa 48db 8a5a b1f86a348137.002
Original artifact ↗
Aspose.Words.46bf1cf1 30aa 48db 8a5a b1f86a348137.007
Original artifact ↗

Continue in the source.

Open the source notebook in Jupyter, Colab, or the environment described in the README. Data and model downloads may be required.

git clone https://github.com/eforus-overseer/Enron-DLP-Policy-Enforcement.git
Read the setup and requirements ↗

Project artifacts.

Source links point to the original public repository. Credit belongs to the project authors and the dependencies credited there.