In 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 / McAnulty College and Graduate School of Liberal Arts; / Computational Mathematics / MS; / Thesis;
| Identifer | oai:union.ndltd.org:DUQUESNE/oai:digital.library.duq.edu:etd/162270 |
| Date | 03 April 2014 |
| Creators | Jacovino, Julia Maureen |
| Contributors | Patrick Juola, Eric Ruggieri, Frank D'Amico, Donald Simon |
| Source Sets | Duquesne University |
| Detected Language | English |
| Rights | One year embargo: no access to PDF file until release date by author request.; |
Page generated in 0.0018 seconds