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Overview of Sentiment Analysis in Community Management

The sentiment analysis feature in community management, Scompler Audience Pulse, allows you to understand how your content is being perceived by your target audience.

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With the help of AI, comments, mentions, and direct messages are classified as positive, neutral, negative, or mixed. 

In Community Management, sentiment is displayed directly next to individual actions, allowing you to categorize and prioritize them more quickly. At the same time, the sentiment data from these actions is automatically assigned to posts, stories, and topics and displayed there in aggregated form. This allows you to see at a glance how target audiences are reacting to specific content, campaigns, or topics. 

If you use Community Management, the sentiment feature is enabled by default. Administrators can disable it at any time if necessary. 

 

 

Benefits of Sentiment Analysis

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  Understand audience reactions    Prioritize actions efficiently   Evaluate topics, stories, and posts   
  Understand how content resonates emotionally with your target audience. This gives you an additional qualitative perspective on your communication.  

Filter and prioritize incoming comments, mentions, and direct messages based on their sentiment. This allows you to identify and address relevant conversations more quickly. 

   Analyze how target audiences react to specific topics, stories, or posts. This makes it easier to evaluate communication efforts beyond traditional performance metrics.  

 

Definition of the Different Sentiments

Incoming comments, mentions, and direct messages are automatically classified based on their sentiment. The individual sentiments are explained below.

Sentiment Description Example
Positive The interaction contains a clearly positive tone or feedback. “The new feature is really helpful!”
Neutral The interaction is predominantly factual and contains no strong emotional judgment. “The new feature was released today.”
Negative The interaction contains a clearly negative sentiment or criticism. “I can’t get the hang of the new feature at all.”
Mixed The interaction contains both positive and negative statements. “The new feature is interesting, but the navigation is still a bit confusing.”
Unknown No clear sentiment could be determined for this interaction. Very brief comments or comments that cannot be clearly interpreted regarding the new feature.

 

More about Sentiment Analysis