all AI news
"More Than Words": Linking Music Preferences and Moral Values Through Lyrics. (arXiv:2209.01169v1 [cs.CY])
Sept. 5, 2022, 1:12 a.m. | Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
cs.LG updates on arXiv.org arxiv.org
This study explores the association between music preferences and moral
values by applying text analysis techniques to lyrics. Harvesting data from a
Facebook-hosted application, we align psychometric scores of 1,386 users to
lyrics from the top 5 songs of their preferred music artists as emerged from
Facebook Page Likes. We extract a set of lyrical features related to each
song's overarching narrative, moral valence, sentiment, and emotion. A machine
learning framework was designed to exploit regression approaches and evaluate
the …
More from arxiv.org / cs.LG updates on arXiv.org
A Single-Loop Algorithm for Decentralized Bilevel Optimization
1 day, 4 hours ago |
arxiv.org
CLEANing Cygnus A deep and fast with R2D2
1 day, 4 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Alternant Data Engineering
@ Aspire Software | Angers, FR
Senior Software Engineer, Generative AI
@ Google | Dublin, Ireland