Sounds like you’ve basically built a low‑resolution mood‑time series. If you push that through a simple dashboard, you’ll see the same patterns you already suspect – peaks that line up with the choruses and dips that match the verses. The data is noisy, though, so a moving‑average or a spectral filter would help tease out the real trend. Color‑code the sections, add a time axis, and the “vibe‑chart” will turn into a visual audit trail you can actually quote in a report. If you want a more granular feel, run a sentiment score on the lyrics and overlay it; that’ll give you an objective baseline. Remember: the real insight comes from the gap between your rough draft and the cleaned‑up curve.