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The Enron Corpus: A New Dataset for Email Classification Research. Bryan Klimt and Yiming Yang. Language Technologies Institute. Carnegie Mellon University. Pittsburgh, PA 15213-8213, USA. {bklimt,yiming}@cs.cmu.edu. Abstract. Automated classification of email messages into user-specific folders and information
Abstract. We investigate the structures present in the Enron email dataset using singular value decomposition and semidiscrete decomposition. Using word frequency profiles we show that messages fall into two distinct groups, whose extrema are characterized by short messages and rare words versus long messages and.
Introduction. Email logs have been considered as a useful resource for research in fields like link analysis, social network analysis and textual analysis. Most of the experiments in these fields of research are performed on synthetic data due to lack of an adequate and real life benchmark. The Enron email dataset is a
Enron Email Dataset is distributed by William Cohen. The dataset consists of 517,431 messages that belong to 150 users, mostly senior management of the Enron Corp. Although the dataset is huge, of the seven datasets. Download all the graphs in EPS, FIG, JPG and PDF formats (1.4 Mb tarred, gzipped). Publication.
ABSTRACT. This paper presents a case study with Enron email dataset to explore the behaviors of email users within different organizational positions. We defined email behavior as the email activity level of people regarding a series of measured metrics e.g. sent and received emails, numbers of email addresses, etc.
15 May 2015 wilful corporate fraud and corruption. This report aims at answering whether top level Enron employees had incriminating evidence in their office emails or uncover any unusual patterns in the months leading up to the scandal through an exploratory data analysis. 1 Introduction. This dataset was collected
We use the Enron email corpus to study relationships in a network by applying six different measures of centrality. Our results came out of an in-semester undergraduate research sem- inar. The Enron corpus is well suited to statistical analyses at all levels of undergraduate education. Through this article's focus on centrality,
9 Jan 2015 Full-text (PDF) | We investigate the structures present in the Enron email dataset using singular value decomposition and semidiscrete decomposition. Using word frequency profiles, we show that messages fall into two distinct groups, whose extrema are characterized by short messages and rare words
We investigate the structures present in the Enron email dataset using singular value decomposition and semidiscrete dec
Abstract. This paper describes an automatic text analysis of values contained in the Enron email dataset that seeks to explore the potential to apply value patterns to cluster a social network. Two hypotheses are posed: individuals communicate more frequently with other individuals who share similar value patterns than with

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February 2018