The Enron Email Dataset Database Schema and Brief Statistical Report
By Jitesh Shetty, J. Adibi. 2004
453 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/0cf70295f779d20cf38d34d3e948af9298e1c367
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Yoshua Bengio
- Eric P. Xing
- Ruslan Salakhutdinov
- Percy Liang
- Graham Neubig
- Charu C. Aggarwal
- Mohit Bansal
- Dacheng Tao
Citations in the corpus
- Dynamic mixed membership blockmodel for evolving networks (2009, methodology): “The email data was processed by Shetty and Adibi (2004) .”
- Politeness Transfer: A Tag and Generate Approach (2020, methodology): “We begin by pre-processing the raw Enron corpus following Shetty and Adibi (2004).”
- Topic and Role Discovery in Social Networks (2005, background): “With the recent availability of large datasets of human interactions [Shetty & Adibi, 2004; Wu et al., 2003], the popularity of services like Friendster.com and LinkedIn.com, and the salience of the connections among the 9/11 hijackers, there has been growing interest in social network analysis.”
- CogCompNLP: Your Swiss Army Knife for NLP (2018, unknown): “37 Enron (Shetty and Adibi, 2004) F1 – 77.”
- A state-space mixed membership blockmodel for dynamic network tomography (2008, methodology): “The email data was processed by Shetty and Adibi ( 2004).”
- You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems (2014, unknown): “were: “20 Newsgroups” [36], “Reuters-21578” [4], and the “Enron data set” [55].”
- Sentiment analysis in organizational work: Towards an ontology of people analytics (2018, methodology): “Some of the emails were deleted in a redaction effort prompted by employee requests (for a more comprehensive review of this dataset see Keila & Skillicorn, 2005; Sebastian, Bródka & Kazienko, 2011; Shetty & Adibi, 2004).”
- A Literature Survey on Algorithms for Multi-label Learning (2010, unknown): “Enron Email Dataset The Enron Email dataset contains 517,431 emails (without attachments) from 151 users distributed in 3500 folders, mostly of senior management at the Enron Corp [45].”
- Enabling Personalized Search over Encrypted Outsourced Data with Efficiency Improvement (2016, background): “The details of database can be found in [29].”
- Community detection in Attributed Network (2018, background): “Emails : due to emails privacy issues, there is no public corpus from a real organization available except for a huge Anonymized Enron email corpus [25].”
- Data and Structural k-Anonymity in Social Networks (2009, background): “Other social networks datasets in areas such as e-mail communication [23] also benefit from privacy techniques tailored for social networks.”
- Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links (2014, methodology): “The topic labels and notes were hand created after looking at the top words and employees and by using the partial knowledge available about the roles of the employees in the Enron organization [17].”