Sentiment Analysis
Understand the sentiment of comments and DMs to prioritize responses and detect potential issues.
How Sentiment Analysis Works
Every incoming comment and DM is analyzed for sentiment: positive, neutral, negative, or spam. This helps you quickly identify and respond to important messages while filtering out noise.
Priority Inbox
Messages are sorted by sentiment and importance. Negative messages bubble to the top so you can address issues quickly. Positive messages from potential customers or collaborators are highlighted.
Automated Responses
Configure automated responses based on sentiment. For example, auto-reply with a thank-you to positive comments, flag negative ones for manual review, and auto-hide spam.
Trend Analysis
Track sentiment trends over time to understand how your audience feels about your content. Sudden shifts in sentiment can indicate a problem with recent posts or external factors affecting your brand.
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