Emotion AI
Social media sentiment analysis beyond positive, neutral, negative with 25+ specific emotions.
Positive, neutral, negative. That's not insight. That's a guess with three options, not true sentiment analysis.
Felton
Emotion AI
25+
emotions
From admiration to distrust. From pride to disappointment.
Every comment classified with the precision you need to understand what your audience actually feels and respond accordingly.
CTS
Trust over
time
Community Trust Score tracks the emotional direction of your audience.
Know whether you're building trust or losing it before the numbers confirm it.
Traditional Sentiment
3
categories
Positive. Neutral. Negative.
A blunt instrument that puts joy and relief in the same bucket. Frustration and anger in the same bucket. Useful for a dashboard. Useless for decisions.
25+ emotions. Emotion detection on every interaction.
Three levels of emotion detection: sentiment, category and specific emotion. Deep emotion analysis in any language.
Positive
Joy, Excitement, Gratitude and more.
Neutral
Surprise, Curiosity, Realization and more.
Negative
Anger, Frustration, Disappointment and more.
Community Trust Score: know where your audience is heading.
CTS is a proprietary trust metric, built for communities. Scored 1-10 per community, it tracks the emotional direction of your audience over time. A rising CTS means your content is building something real. A falling CTS means something is wrong before the numbers show it.
What Emotion AI unlocks.
Crisis Detection
- Detect rising frustration, distrust or anger before it becomes a PR crisis.
- CTS drops signal problems days before they hit mainstream media.
- Respond when it still matters.
Content Strategy
- Know which content generates joy vs. admiration vs. excitement.
- Build editorial strategies around the emotions that drive engagement and loyalty, not just the posts that got the most likes.
Sponsorship Valuation
- Measure the emotional impact of sponsor activations on your community.
- Show partners exactly how their presence affects audience trust and sentiment.
- Data that justifies renewals.
Stop reading sentiment reports. Start understanding emotions.
Emotion AI is stronger with context.
Emotion AI questions, answered.
Traditional sentiment analysis classifies text into three categories: positive, neutral and negative. Emotion AI goes deeper, classifying every interaction into 25+ specific emotions like admiration, frustration, pride and distrust. This gives you actionable insight instead of a vague sentiment label.
The Community Trust Score (CTS) is a proprietary metric scored 1-10 per community. It aggregates the emotional signals from every interaction to track the overall trust direction of your audience over time. A rising CTS means your content is building trust. A falling CTS signals problems before they become visible in traditional metrics.
Yes. Our Emotion AI performs deep emotion analysis in any language, detecting the same 25+ emotions regardless of the language used in the interaction.
Yes. You can track emotional trends over time for any topic, campaign, content type or audience segment. The CTS provides daily tracking of your community's emotional direction.
Emotion AI feeds directly into audience segmentation. You can build segments based on emotional patterns — for example, finding all audience members who consistently express frustration or those who show high admiration. Combined with 250+ other filters, emotions become a powerful segmentation dimension.