Skip to main content

How Does the “Emotion Analysis” Chart Differ From Sentiment?

Updated over a month ago

The Emotion Analysis chart in the BrandMentions Analytics section provides a clear overview of the specific emotions expressed in your brand mentions. Unlike Sentiment Analysis, which shows whether people feel positively, negatively, or neutrally, Emotion Analysis identifies which emotions are being felt, giving you a more detailed understanding of audience reactions.

This chart helps you answer key questions such as:

  • What emotions dominate conversations about your brand?

  • Are people expressing joy, love, or surprise, or are they showing anger, sadness, or fear?

  • How strong are these emotional signals compared to each other?

Understanding the balance of emotions helps you interpret not only the mood around your brand but also the intensity of your audience’s feelings.

How to Read the Emotion Analysis Chart

The Emotion Analysis chart is usually displayed as a radar or polar area chart. Each section represents a core emotion, with the size of the colored area corresponding to how often that emotion appears in your brand mentions.

In the example chart above:

  • Love occupies the largest section, indicating it is the most frequently detected emotion in recent mentions.

  • Joy is also prominent, showing that audiences are expressing happiness and positivity toward your brand.

  • Smaller portions like Sadness, Fear, and Disgust represent lower levels of these emotions, suggesting that negative emotional responses are relatively limited.

The chart provides a visual summary of your emotional landscape, helping you see at a glance which emotions are most connected to your brand.


What Sentiment Analysis Measures

Sentiment Analysis provides a high-level overview of the emotional tone behind brand mentions. It classifies conversations into three main categories: positive, negative, or neutral.

It answers the question:

“Are people generally speaking positively or negatively about my brand?”

This broad measure is ideal for tracking overall brand health, monitoring public perception, and evaluating the success of marketing campaigns or PR efforts.



What Emotion Analysis Measures

Emotion Analysis goes one layer deeper. Instead of simply labeling sentiment as positive or negative, it identifies the specific emotions expressed in your mentions such as joy, anger, sadness, fear, surprise, disgust, or love.

It answers the question:

“What specific emotions are people feeling when they talk about my brand?”

This granularity helps you understand the underlying reasons behind sentiment shifts and gives you a richer picture of audience perception.

Key Differences Between the Two Charts

Feature

Sentiment Analysis

Emotion Analysis

Level of Detail

Broad overview (Positive, Negative, Neutral)

Detailed view (Joy, Anger, Sadness, Surprise, etc.)

Primary Question

“Is the conversation positive or negative?”

“What specific emotions are being expressed?”

Main Use Case

Tracking brand reputation and campaign performance

Understanding the emotional drivers behind audience reactions

Chart Type

Often displayed as a stacked area chart or pie chart

Typically a multi-line or stacked bar chart visualizing emotional categories


Why Both Charts Matter for Your Brand Strategy

Using Sentiment Analysis and Emotion Analysis together gives you a complete view of your brand’s emotional landscape. Here’s how to make the most of both:

  • Get the Full Picture:
    Start with the Sentiment Analysis chart to identify overall tone trends. If you notice a spike in negative sentiment, switch to the Emotion Analysis chart to uncover what’s driving it. For example, are users expressing anger over poor service or disappointment about a delayed product launch?

  • Create Emotionally Resonant Marketing:
    By identifying which positive emotions , such as joy, love, or surprise dominate your mentions, you can craft marketing messages that strengthen those connections and inspire similar feelings.

  • Enhance Customer Experience:
    Emotion Analysis can reveal deeper insights into user frustration, confusion, or excitement. Use these insights to guide customer support improvements, refine product design, or adjust brand messaging.

Did this answer your question?