Title

Enron Dataset Research: E-mail Relevance Classification

Document Type

Technical Report

Comments


Report Number TXSTATE-CS-TR-2009-12
Research advisor: Professor Wilbon Davis

Abstract

This paper discusses a probabilistic approach to address the problem of searching through large amount of data to find case-relevant documents. Using a valuable collection of data, e-mail communications from Enron, an actual corporation, we train a Bayes-based text classifier algorithm to identify e-mails known to be case-relevant and those known to be case-irrelevant.