Publication Date
Fall 2013
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
Author Identification is the process of identifying a piece of text to ascertain if it has an inherent writing style or pattern based on a certain author. Almost all literary books can be accredited to a certain author since it has been signed. However, there also exist a plethora of unfinished books or manuscripts that could be attributed to a range of possible authors. For example, William Shakespeare has written many plays that have not been signed by him. In order to assess the importance of such texts that do not bear the authors signature, it could be vital to know who was the writer. I plan to solve this dilemma using the characteristics of finite state automata coupled with the ALERGIA algorithm.
Recommended Citation
Kalantri, Nikhil, "Pattern Discovery of Sequential Symbolic Data using Automata with an application to Author Identification" (2013). Master's Projects. 333.
DOI: https://doi.org/10.31979/etd.uhdr-ae3z
https://scholarworks.sjsu.edu/etd_projects/333
