Sentiment Engine

Sentiment Engine turns gaming reaction videos into searchable, time-indexed intelligence by pairing what happens on screen with how the player reacts. For any gameplay video, SE finds the moments that matter — the in-game event (the stimulus) and the player's facial expression at that instant (the response) — then lets you search hours of footage in plain language and auto-writes a studio insight brief when something lands. How it works: Ingest — yt-dlp pulls the video stream; ffmpeg samples frames. Game understanding — NVIDIA model captions the on-screen event per window. Reaction lane — SE locates the creator's webcam corner, crops the player's face at each event, and the VLM reads the facial expression + intensity. Fusion — events × reaction intensity × cross-video synchrony rank the "notable moments." Action — NVIDIA model writes a 2-sentence design/marketing brief for the top moment. Search — plain-language queries return the moment + reaction.