Work Hard, Play Hard: Email Classification on the Avocado and Enron Corpora

Sakhar Alkhereyf, Owen Rambow


Abstract
In this paper, we present an empirical study of email classification into two main categories “Business” and “Personal”. We train on the Enron email corpus, and test on the Enron and Avocado email corpora. We show that information from the email exchange networks improves the performance of classification. We represent the email exchange networks as social networks with graph structures. For this classification task, we extract social networks features from the graphs in addition to lexical features from email content and we compare the performance of SVM and Extra-Trees classifiers using these features. Combining graph features with lexical features improves the performance on both classifiers. We also provide manually annotated sets of the Avocado and Enron email corpora as a supplementary contribution.
Anthology ID:
W17-2408
Volume:
Proceedings of TextGraphs-11: the Workshop on Graph-based Methods for Natural Language Processing
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
TextGraphs
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
57–65
Language:
URL:
https://aclanthology.org/W17-2408
DOI:
10.18653/v1/W17-2408
Bibkey:
Cite (ACL):
Sakhar Alkhereyf and Owen Rambow. 2017. Work Hard, Play Hard: Email Classification on the Avocado and Enron Corpora. In Proceedings of TextGraphs-11: the Workshop on Graph-based Methods for Natural Language Processing, pages 57–65, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
Work Hard, Play Hard: Email Classification on the Avocado and Enron Corpora (Alkhereyf & Rambow, TextGraphs 2017)
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PDF:
https://aclanthology.org/W17-2408.pdf