Yongxing Tan

Work place: Information Science and Technology Institute, Zhengzhou 450002, China

E-mail: wuming621@126.com

Website:

Research Interests: Computational Learning Theory, Computer Science & Information Technology

Biography

Yongxing Tan, born in Henan province, China, in 1989, holds a bachelor's degree in computer science from Zhengzhou Information Science and technology Institute at Zhengzhou, China in 2009. He is a second-year graduate student for the Master degree of engineering in the same university. His main research interests include the fields of information extraction and machine learning.

Author Articles
Automatically Extracting Name Alias of User from Email

By Meijuan Yin Xiao Li Junyong Luo Xiaonan Liu Yongxing Tan

DOI: https://doi.org/10.5815/ijem.2011.06.03, Pub. Date: 5 Dec. 2011

Mining user identity information from emails is an important research topic in email mining. Most approaches extract an email user's name only from the header of an email, but there are often many name information in the body of emails, which are usually more suitable for representing the sender's or recipient's identity. This paper focuses on the problem of extracting email users' name aliases in the body of plain-text emails. After locating and extracting salutation and signature blocks from email bodies, we can identify the potential aliases in the salutation and signature lines, which can be directly related with the email addresses in email headers, by using named entity recognition(NER) tools. To verify and amend the potential aliases that were identified by NER tools, we propose a novel approach to extract aliases in the salutation and signature lines based on name boundary word template built on the characteristics of alias neighboring words. Results on the public subset of the Enron corpus indicate that the approaches presented in this paper can efficiently extract user's aliases from email bodies.

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User Name Alias Extraction in Emails

By Meijuan Yin Junyong Luo Ding Cao Xiaonan Liu Yongxing Tan

DOI: https://doi.org/10.5815/ijigsp.2011.03.01, Pub. Date: 8 Apr. 2011

Finding out user identity information from emails is one of the important research topics in email mining. Most approaches extract an email user’s name only from the header of an email, but there are often many name information appearing in the body of emails, and those names are usually more suitable for representing the sender’s or recipient’s identity. This paper focuses on the problem of extracting email users’ name aliases in the body of plain-text emails. After locating and extracting salutation and signature blocks from email bodies, we can identify the potential aliases in the salutation and signature lines, which can be directly associated with the corresponding email address in email headers, by using named entity recognition(NER) tools. However the identified aliases may be half-baked or there are still some potential aliases that can’t be correctly identified. So we propose a novel approach to efficiently and accurately extract aliases in the salutation and signature lines based on name boundary word template built on the characteristics of alias neighboring words. Results on the public subset of the Enron corpus indicate that the approaches presented in this paper can efficiently extract user’s aliases from email bodies.

[...] Read more.
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