Date of Award
1-1-2013
Language
English
Document Type
Master's Thesis
Degree Name
Master of Science (MS)
College/School/Department
Department of Computer Science
Content Description
1 online resource (ii, 21 pages) : illustrations (some color)
Dissertation/Thesis Chair
Tomek Strzalkowski
Keywords
genetic algorithm, hedge detection, Hedge (Linguistics), Computational linguistics, Genetic algorithms, Language and the Internet
Subject Categories
Computer Sciences
Abstract
Semantic and syntactic features found in text can be used in combination to statistically predict linguistic devices such as hedges in online chat. Some features are better indicators than others, and there are cases when multiple features need to be considered together to be useful. Once the features are identified, it becomes an optimization problem to find the best division of data.
Recommended Citation
Stahl, Ken, "Hedge detection using a rewards and penalties approach" (2013). Legacy Theses & Dissertations (2009 - 2024). 1018.
https://scholarsarchive.library.albany.edu/legacy-etd/1018