dc.contributor.advisor | McKim, Billy R. | |
dc.creator | Davis, Natalie Anne | |
dc.date.accessioned | 2023-12-20T19:47:33Z | |
dc.date.available | 2023-12-20T19:47:33Z | |
dc.date.created | 2019-08 | |
dc.date.issued | 2019-07-19 | |
dc.date.submitted | August 2019 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/200747 | |
dc.description.abstract | The emotional effect of music lyrics on humans has not been widely researched. There were 53 participants that ranged from ages 19-34 in this study. Of the 53 participants, 43 identified as female, 10 identified as male, and music education varied amongst participants. Three methods were used to conduct this study including a sentiment analysis, a perception analysis, and a survey. The sentiment analysis analyzed words in 497 songs from the Billboard year-end music charts for the country, pop, and urban genre formats. The perception analysis used the Dialsmith Perception Analyzer software to measure moment-to-moment participant feedback for nine selected songs from the year-end music charts.
The survey was used as a participant self-report for opinions on each of the nine songs. Bivariate correlations were used to find relationships among sentiment scores and moment-to-moment scores, internal and external factors and moment-to-moment scores, and sentiment scores and song performance on the Billboard charts. There were significant relationships for all correlations except year-end chart performance. Sentiments and human response were not an indicators of year-end chart rank performance for the nine songs that the participants listened to. | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.subject | music | |
dc.subject | music research | |
dc.subject | thesis | |
dc.subject | lyrics | |
dc.subject | sentiment analysis | |
dc.subject | Dialsmith | |
dc.subject | perception analyzer | |
dc.subject | perception analysis | |
dc.subject | survey | |
dc.subject | Qualtrics | |
dc.subject | emotion | |
dc.subject | music lyrics | |
dc.subject | R | |
dc.subject | RStudio | |
dc.subject | Tableau | |
dc.subject | SPSS | |
dc.title | Elicitation of Emotional Response from Music Lyrics | |
dc.type | Thesis | |
thesis.degree.department | Agricultural Leadership, Education, and Communications | |
thesis.degree.discipline | Agricultural Leadership, Education, and Communications | |
thesis.degree.grantor | Texas A&M University | |
thesis.degree.name | Master of Science | |
thesis.degree.level | Masters | |
dc.contributor.committeeMember | Gill, Clare A. | |
dc.contributor.committeeMember | McCubbins, Andrew OP | |
dc.type.material | text | |
dc.date.updated | 2023-12-20T19:47:34Z | |
local.etdauthor.orcid | 0000-0003-4511-6827 | |