Document Type
Conference Proceeding
Publication Date
1-1-2024
Abstract
This work studies the application of advanced AI and natural language processing (NLP) techniques, to analyze the lyrics of Phish, a renowned American jam band known for their groundbreaking improvisational live shows and eclectic lyrics. Focusing on environmental themes within their extensive repertoire, this paper aims to uncover latent topics pertaining to environmental discourse, by using the topic modeling and environmental classifier to filter out the list of topics present within their songs. Through meticulous preprocessing, modeling, and interpretation, our findings shed light on the multifaceted portrayal of environmental issues in Phish’s lyrics. In this study, our primary contribution lies in lyrical analysis, as well as visualization and interpretation of the topics their lyrics cover, over the forty plus years the band has existed. Our lyrical visualizations aim to facilitate an understanding of how Phish selects the timing and location for their live performances in relation to the themes present in their music.
Original Publication Citation
Anna Farzindar and Jason Jarvis. 2024. NLP Analysis of Environmental Themes in Phish Lyrics Across Concert Locations and Years. In Proceedings of the 3rd Workshop on NLP for Music and Audio (NLP4MusA), pages 25–30, Oakland, USA. Association for Computational Lingustics.
Digital Commons @ LMU & LLS Citation
Farzindar, Anna and Jarvis, Jason L., "NLP Analysis of Environmental Themes in Phish Lyrics Across Concert Locations and Years" (2024). Communication Studies Faculty Works. 28.
https://digitalcommons.lmu.edu/comm_fac/28
