Email Datasets can be found here
-
Updated
Jan 21, 2020 - Python
#
enron-emails
Here are 29 public repositories matching this topic...
Fraud Detection by finding the Person of Interest (POI)
-
Updated
Aug 6, 2017 - Jupyter Notebook
The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)
privacy language-model association memorization email-address enron-emails personal-privacy pretrained-language-model privacy-attacks
-
Updated
Oct 31, 2022 - Python
A Person Of Interest identifier based on ENRON CORPUS data.
validation evaluation feature-selection kmeans person-of-interest outlier-removal fraud-detection regression-analysis enron-emails enron-dataset
-
Updated
Jul 22, 2020 - Jupyter Notebook
The fraud identification models were build using Python Scikit-learn machine-learning module.
python machine-learning random-forest scikit-learn cross-validation feature-selection feature-extraction classification regression-models principal-component-analysis svc fraud-detection model-building knearest-neighbor-classifier enron-emails
-
Updated
Aug 26, 2017 - Python
CEREC and Seed corpus for coreference resolution for email threads taken from the Enron Corpus
natural-language-processing coreference-resolution enron-emails email-processing lrec2020 coling2020
-
Updated
Jun 3, 2021
[Incomplete] A chrome extension that tells you if a mail you're currently drafting is going to be classified as spam or not.
python chrome-extension classifier spam numpy jupyter-notebook naive-bayes-classifier bag-of-words spam-filtering spam-detection spam-classification vs ham enron-emails
-
Updated
Nov 30, 2017 - Jupyter Notebook
nlp machine-learning prediction classification nlp-machine-learning enron enron-emails enron-dataset
-
Updated
Jun 23, 2018 - DIGITAL Command Language
A project on Extract-Transform-Load (ETL) operations performed on the emails from the infamous enron corpus database.
-
Updated
May 12, 2021 - Python
Natural Language Processing (NLP) and programmatic data extraction in large scale fraud investigations.
-
Updated
Jan 19, 2024 - Jupyter Notebook
Enron Email Analysis
-
Updated
Nov 14, 2017 - Python
📩 Modeling the Enron dataset of emails using graphs
-
Updated
Mar 7, 2023 - Jupyter Notebook
Spam and No Spam text classification with Convolutional Neuronal Network and Word Embedding
-
Updated
May 3, 2019 - Jupyter Notebook
📧 A data engineering exercise
-
Updated
Feb 4, 2017 - Python
This repository contains code for normalizing the Enron dataset.
-
Updated
Aug 17, 2023 - Jupyter Notebook
Machine learning algorithms applied to explore Enron email dataset and figure out patterns about people involved in the scandal.
python machine-learning udacity validation evaluations svm regression feature-selection supervised-learning pca k-means unsupervised-learning decision-tree udacity-android-nanodegree udacity-machine-learning-nanodegree text-learning enron-emails enron-dataset enron-email-dataset enron-fraud-case
-
Updated
Jan 26, 2019 - DIGITAL Command Language
Phishing Detection classifier to filter fraudolent and phishing e-mail.
artificial-intelligence cybersecurity enron enron-emails jupiter-notebook enron-email-dataset phishing-detection
-
Updated
Feb 2, 2023 - Jupyter Notebook
Identifying and cleaning the outliers of the Enron Dataset.
-
Updated
Jun 7, 2018 - Python
Machine learning algorithms are used to determine some possible people involved in Enron fraud---Udacity project
-
Updated
Dec 17, 2017 - Python
LT2212 V20 Assignment 3: Same-author-classification via feed-forward neural networks: Transformed email text (Enron) into a machine readable representation and built a classifier that determines whether two texts are authored by the same person or not.
-
Updated
Jul 13, 2020 - Python
Improve this page
Add a description, image, and links to the enron-emails topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the enron-emails topic, visit your repo's landing page and select "manage topics."