Applying Plutchik’s model of eight core emotions, qualitative AI chat responses (or standard open endeds and coming soon, human to human qualitative transcripts) are automatically tagged into emotional categories. This enables you to exploreand understand what drives anger, joy, sadness, trust, disgust, surprise, anticipation and fear.

At its core, Emotional Analysis enriches your text analytics by helping to understand how experiences and emotions inter-relate in a cycle of cause and effect. Instead of examining only words and phrases, you can now see the emotional tone behind them, giving you a broader understanding of your customers’ state of mind. Real-time visual reports capture these feelings, offering immediate, actionable insights. This means you can address potential issues more rapidly, fine-tune marketing campaigns to resonate better with your audience, and deepen overall brand engagement.

Implementing Emotional Analysis into your workflow is straightforward within the HumanListening platform. Run any text analysis and you’ll instantly have access to auto-generated charts that map the emotions detected in your dataset, like the below example:

This plug-and-play approach takes the complexity out of advanced analytics, freeing up your time to focus on interpreting results and identifying opportunities.

In terms of applicability, there are many use cases for emotional analysis: • Understanding how customer experiences trigger emotional responses that can lead to behaviours such as advocacy (joy) or complaint (disgust, anger) • Tracking emotions and brand perceptions to understand impact of marketing and communications campaigns • Developing winning campaign creative ideas that go beyond rational and tangible benefits • Exploring how test-market users react to a new product and separating out the truly impactful concepts that trigger joy and surprise

These emotional data points feed directly into enhanced dashboards and auto-report integrations, enabling you to see high-level trends and detailed insights side by side. By layering emotion on top of traditional text analytics, you gain the added context needed to make better decisions faster.

Want to know more about these features?

Book a demo with our team to see Emotional Insights in action — or start exploring it yourself in the HumanListening platform today.