Note
Thesis (B.A.)--Florida Atlantic University, Harriet L. Wilkes Honors College, 2022
Member of
Contributors
Publisher
Florida Atlantic University
Date Issued
2022
EDTF Date Created
2022
Description
The Hedonometer analyzes Twitter data using human evaluations of happiness to give a happiness score for a given day. The goal of this study was to be able to predict the Hedonometer’s happiness score for a given day using the Linguistic Inquiry and Word Count (LIWC). Using a sample of over 15 million Tweets gathered from Archive.org’s Twitter Stream Grab, the positive emotion dictionary of the LIWC was able to predict happiness on an independent sample, R2 = .57, p < .001. When adding seven additional LIWC dictionaries and using lasso regression, predictive power improved, R2 = .85, p < .001. This reveals that different language analysis metrics may also be able to reveal positivity and happiness within the population of Twitter.
Language
Type
Genre
Form
Extent
41 p.
Identifier
FAUHT00228
Rights
Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Additional Information
Thesis (B.A.)--Florida Atlantic University, Harriet L. Wilkes Honors College, 2022
Date Backup
2022
Date Created Backup
2022
Date Text
2022
Date Created (EDTF)
2022
Date Issued (EDTF)
2022
Extension
FAU
IID
FAUHT00228
Organizations
Attributed name: Florida Atlantic University
Person Preferred Name
Bush, Scott
author
Harriet L. Wilkes Honors College
Physical Description
application/pdf
41 p.
Title Plain
PREDICTING HAPPINESS ON TWITTER
Use and Reproduction
Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
http://rightsstatements.org/vocab/InC/1.0/
Origin Information
2022
2022
Florida Atlantic University
Jupiter, FL
Place
Jupiter, FL
Title
PREDICTING HAPPINESS ON TWITTER
Other Title Info
PREDICTING HAPPINESS ON TWITTER