The Emotion Over Time chart in BrandMentions Analytics takes you beyond simple positive or negative sentiment. It reveals the full spectrum of human emotions expressed in your brand mentions, helping you understand why people feel the way they do about your brand.
While sentiment analysis measures general tone, emotion analysis provides deeper insight into specific feelings such as joy, anger, love, or fear. This allows you to respond more effectively, communicate more empathetically, and align your strategies with the true emotional drivers behind audience behavior.
How to Read the Emotion Over Time Chart
The Emotion Over Time chart displays emotional trends across your selected time period. Each line represents a different emotion, color-coded for easy reference:
❤️ Love: Represents admiration, affection, and strong positive connection. High levels of love often indicate loyal customers or advocates.
💛 Joy: Reflects happiness, excitement, and delight. Spikes in joy usually follow successful campaigns or positive announcements.
💜 Surprise: Indicates unexpected reactions. It can be positive or negative depending on the context, such as a surprising product launch or sudden issue.
🔵 Anger: Signals frustration, dissatisfaction, or negative experiences. Persistent or sharp increases in anger require quick investigation.
💧 Sadness: Suggests disappointment or unhappiness, often tied to unmet expectations or service concerns.
🟣 Fear: Reflects anxiety or uncertainty, possibly linked to product reliability or brand trust issues.
🟢 Disgust: Represents strong aversion. Even small spikes in this emotion are critical to address quickly.
By reviewing the peaks and patterns in these lines, you can pinpoint what triggers each emotion. For example, a spike in Joy might coincide with a new campaign, while an increase in Anger could indicate a service disruption or negative news.
Example Interpretation
In the example chart above, covering mid-August through late October, emotions fluctuate between positive and negative reactions. Noticeable patterns include:
Consistent peaks in Love and Joy, suggesting active engagement and positive experiences.
Occasional spikes in Anger or Sadness, which may relate to isolated issues or negative feedback moments.
Smaller but visible occurrences of Fear and Disgust, often tied to short-term reactions or crisis moments.
These insights provide valuable context to complement your sentiment data, offering a complete emotional overview of your brand presence.
How to Use Emotion Analysis Strategically
The Emotion Over Time chart helps you make smarter, emotion-informed business decisions. Here are several key applications:
Understand Customer Emotions More Deeply:
Identify the emotions behind feedback to improve your communication tone and customer experience.
Enhance Product Development:
Monitor emotional reactions to new features or updates. Repeated feelings of frustration or sadness can highlight areas needing improvement.
Create Emotionally Resonant Marketing:
Use the emotions most commonly associated with your brand to craft authentic and engaging campaigns that connect on a human level.
Improve Crisis Response:
Track emotional intensity during challenging times. A surge in anger or fear indicates a need for faster and more empathetic responses.
Combine with Sentiment Analysis:
Use emotion data alongside sentiment trends to gain both a broad and detailed understanding of public perception.