Leveraging Lexical Link Analysis (LLA) to discover new knowledge
Loading...
Authors
Zhao, Ying
Mackinnon, Douglas J.
Gallup, Shelley P.
Billingsley, Joseph L.
Subjects
Advisors
Date of Issue
2016
Date
Publisher
Military Cyber Professionals Association
Language
Abstract
Lexical Link Analysis (LLA) is a form of text mining in which word meanings represented in lexical terms (e.g., word pairs) are treated as if they are in a community of a word network. LLA can provide automated awareness for analyzing text data and reveal previously unknown, data-driven themed connections. We applied LLA to develop authentic archetypes and conversely determine potential imposters of that same archetype. We use publically available social media data to develop a cyber professional as an example. This paper reports the development of the algorithm, the collection and labeling of data, as well as the results of analysis of the characteristics of three authentic cyber professionals using data collected from Facebook,
LinkedIn and Twitter. This method can provide automated analyzing and understanding massive Big Data in open and social media data sources to discover new knowledge for a widening range of applications.
Type
Article
Description
The article of record as published may be located at http://doi.org/10.5038/2378-0789.2.1.1015
Series/Report No
Department
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Ying Zhao, Douglas J. Mackinnon, Shelley P. Gallup, Joseph L. Billingsley, "Leveraging Lexical Link Analysis (LLA) to discover new knowledge". Military Cyber Affairs, Vol. 2 [2016], Iss. 1, Art. 3
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.