Date of Graduation
5-2020
Document Type
Thesis
Degree Name
Bachelor of Science
Degree Level
Undergraduate
Department
Computer Science and Computer Engineering
Advisor/Mentor
Gauch, Susan
Committee Member/Reader
Gauch, Susan
Committee Member/Second Reader
Streeter, Lora
Committee Member/Third Reader
Gauch, John
Abstract
Sentiment analysis is a natural language processing technique that aims to classify text based on the emotions expressed in them. It is a research area that has been around for almost 20 years and has seen a lot of development. The works presented in this paper attempts to target a less-developed area in sentiment analysis known as multilingual sentiment analysis. More specifically, multilingual sentiment analysis of micro-texts. Using the existing WordNet lexicon and a domain-specific lexicon for a corpus of Spanish tweets, we analyze the effectiveness of these techniques.
Keywords
sentiment analysis; lexicon; corpus; textblob; classifier
Citation
Roca, J. (2020). Lexicon Based Approaches to Sentiment Analysis of Spanish Tweets: A Comparative Study. Computer Science and Computer Engineering Undergraduate Honors Theses Retrieved from https://scholarworks.uark.edu/csceuht/78
