Principal Investigator: Damon Woodard
Sponsor: Florida Institute of Technology
Start Date: August 31, 2018
End Date: August 31, 2021
As our adversaries continue to attempt to do us harm, many future battles will be fought in cyberspace. It has been estimated that up to 80% of the information on the internet is in the form of text. It is critical to establish links between digital artifacts (web posts, mobile device usage information, web-browsing information, etc.) and identity to gain a competitive edge over our adversaries. Recently, the biometrics research community has investigated language use for potential use as a “cognitive fingerprint.” Psycholinguists have demonstrated that individuals unconsciously develop language that may be meaningful to others within a specific group, thereby providing information on the identity of the user. This project focuses on the application of natural language processing, including deep learning as well as text analytics for authorship attribution of online text samples.