Date of Award

5-24-2013

Document Type

Thesis

Department

Applied Linguistics

First Advisor

George Tucker Childs

Subjects

Computational linguistics, Natural language processing (Computer science), Linguistics -- Study and teaching

DOI

10.15760/honors.19

Abstract

Computational linguistics is a field that was founded by linguists, but more recently is the domain of more computer scientists than linguists. Use of data driven and machine learning methods for computational linguistics applications is now more common than handwritten linguistic rules. In order for a linguist to enter the field, it is essential that he or she be familiar with methods and techniques from computer science. The purpose of this paper is twofold. The first is to serve as a linguist's introduction to concepts from outside of linguistics that are used in computational linguistics. The second purpose is to illustrate the use of linguistic features for a specific task known as sentiment analysis. This task involves determining the sentiment of a piece of text. By way of examining linguistics within sentiment analysis, this paper will begin to gesture at the potential role for linguists in the modern field of computational linguistics as a whole. The goal is to encourage and enable linguists to reengage with computational linguistics by providing a suitable introductory work.

Comments

An undergraduate honors thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Arts in University Honors and Applied Linguistics

Persistent Identifier

http://archives.pdx.edu/ds/psu/10235

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