Abstract
dc:description.abstractIn text analysis, authorship attribution occurs in a variety of ways. The field of computational linguistics becomes more important as the need of authorship attribution and text analysis becomes more widespread. For this research, pre-existing authorship attribution software, Java Graphical Authorship Attribution Program (JGAAP), implements a named entity recognizer, specifically the Stanford Named Entity Recognizer, to probe into similar genre text and to aid in extricating the correct author. This research specifically examines the words authors use around named entities in order to test the ability of these words at attributing authorship
Degree
thesis:*- Name thesis:degree_name
- MS
- Level thesis:degree_level
- Immediate Access
- Discipline thesis:degree_discipline
- Computational Mathematics
- Year dc:date.available
- 2013
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Jacovino, Julia Maureen
- Contributors dc:contributor
-
- Patrick Juola
- Eric Ruggieri
- Frank D'Amico
- Donald Simon
Subjects
dc:subject × 6Rights
- Language dc:language
- English
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://dsc.duq.edu/etd/694
- OAI identifier oai:identifier
- oai:dsc.duq.edu:etd-1710