I’d start by attaching a sentiment score to each word, then map that score to both pitch and volume so the highs feel sharp and the lows roll. Add a short‑time moving average so you can see the mood drift over a few seconds and shift the whole spectrum a bit when the trend flips, like a harmonic pivot. Also consider laying the words on a 2‑D pitch grid—so you can see clusters form and dissolve, almost like a constellation of emotions. If you’re not already, think about how the words’ own cadence could tweak the timbre; the rise and fall of a tweet can feel like a subtle vibrato.