Two products. One mission: decode what your audience actually thinks.
Planned in advance, records all chat during a live broadcast. Not keyword-filtered — gauges overall audience engagement, sentiment shifts, and emotional spikes as they happen. Cannot be done retrospectively.
Second-by-second positive/negative/neutral tracking across the entire broadcast.
Flags moments where emote sentiment contradicts text, surfacing sarcasm and mockery.
Identifies coordinated emote bursts that signal strong collective reactions.
Generates direct links to the VOD timestamp for every flagged moment.
Visual map of when the audience was most and least active during the broadcast.
Pinpoints exact timestamps of maximum positive and negative sentiment.
“We have a sponsored segment going live tomorrow at 8pm — can you tell us how chat reacted?”
— Immediate post-event feedback
Scan historical chat logs across the top 100 Twitch channels. Filter by any keyword — a brand, a game, a product — and see the full sentiment breakdown of every mention. Plan to include competitor comparison for the same time period.
Every mention of your keyword gets classified as positive, neutral, or negative with a total distribution score.
Track multiple keywords in a single scan to compare sentiment across brands, games, or products.
Goes beyond word matching; analyses the surrounding message context and emote usage for accurate classification.
Run the same analysis on a competitor keyword for the same time period, side by side.
See how many times your keyword was mentioned per day/week/month across all tracked channels.
Complete breakdown with charts, top quotes, sentiment distribution, and executive summary.
“How has Twitch chat talked about Overwatch in the last 4 months?”
— Strategic brand perception intelligence
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