Publication Date
2014
Document Type
Thesis
Committee Members
Gary Burns (Committee Member), Travis Doom (Committee Member), Michael Raymer (Advisor)
Degree Name
Master of Science (MS)
Abstract
Vector-based lexical semantics is a powerful technique that still has many undiscovered applications. In this thesis I apply a vector-space lexical-semantic model newly developed by Mikolov et. al. trained on skip-grams to the lexical hypothesis in personality psychology. The method produces interpretable dimensions that are consistent across several sets of descriptive personality words. The dimensions include ones for conflict and positive and negative evaluation. However they are more descriptive of word usage semantics than of the characteristics of the thing described and thus do not include a recognizable component of the 5 factor model in their first 14 dimensions. They do include a component that seems to indicate the degree to which the word applies to people that could be useful in identifying personality words in English.
Page Count
360
Department or Program
Department of Computer Science
Year Degree Awarded
2014
Copyright
Copyright 2014, some rights reserved. My ETD may be copied and distributed only for non-commercial purposes and may be modified only if the modified version is distributed with these same permissions. All use must give me credit as the original author.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.
