Date of Award

2016

Publisher

North Dakota State University

Document Type

Master's Paper

Degree Awarded

Master of Science (MS)

Program

Computer Science

Department

Computer Science

College

Engineering

Faculty Advisor

Li, Juan

Description

Detecting user identity information from the email is one of the predominant exploring topics in data mining. One approach is to extract signature from the body of emails. Those names are usually suitable for representing the sender’s or recipient’s identity. To overcome the limitation, we proposed the novel approach to extract the signature of email sender and recipient from salutation and signature blocks and email bodies. After locating and extracting signature blocks from email bodies, we can identify the names in the salutation and signature lines, which can be directly associated with the corresponding email address in email headers and the body by using named entity recognition (NER) tools. For these tasks Naive Bayes, maximum entropy and Support Vector Machines (SVM) algorithms are preferred in this paper. Results on the data subset of the Enron corpus indicate that the approaches presented in this paper can extract signature from email bodies.

Rights

NDSU Policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Handle Identifier

https://hdl.handle.net/10365/25893

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