Dissertation
Stylometric authorship attribution techniques and analysis for collaborative platforms
Doctor of Philosophy (Ph.D.), Drexel University
Jun 2020
DOI:
https://doi.org/10.17918/00000249
Abstract
Stylometry is defined as the study of writing style. While it has traditionally been studied in natural language, recent advances have also seen it applied to source code. There are many topics of interest in stylometry research, but the most common is authorship attribution - attempting to determine the author of a currently anonymous or disputed document. Most of this research has a common limitation: it assumes each document has a single author. While this is sufficient for many applications, in the modern world there are many documents we may wish to attribute which are written collaboratively. With the ubiquitous use of the Internet, content creation platforms such as Wikipedia and GitHub have opened new avenues of collaboration. In this thesis, we examine three authorship attribution problems on two collaborative platforms.
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Details
- Title
- Stylometric authorship attribution techniques and analysis for collaborative platforms
- Creators
- Edwin George Dauber Jr.
- Contributors
- Rachel Greenstadt (Advisor)Spiros Mancoridis (Advisor)
- Awarding Institution
- Drexel University
- Degree Awarded
- Doctor of Philosophy (Ph.D.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Number of pages
- xvii, 117 pages
- Resource Type
- Dissertation
- Language
- English
- Academic Unit
- Computer Science (Computing) (2013-2026); College of Computing and Informatics (2013-2026); Drexel University
- Other Identifier
- 991014695538804721