Sentiment analysis uses AI or manual review to classify social media mentions as positive, negative, or neutral.
Definition
Sentiment analysis uses AI or manual review to classify social media mentions as positive, negative, or neutral. It helps you understand how people feel about your brand, products, or campaigns.
High mention volume means nothing if the sentiment is overwhelmingly negative. Sentiment analysis adds qualitative depth to your quantitative metrics, helping you catch PR issues early, measure campaign reception, and understand customer satisfaction at scale.
After launching a new pricing plan, a SaaS brand runs sentiment analysis on Twitter mentions. They find 60% positive, 25% neutral, and 15% negative. The negative mentions cluster around one specific concern — feature limitations on the free tier — giving the team a clear issue to address.
Key Takeaway: Segment sentiment by topic to find specific, actionable issues rather than just an overall positive/negative score.
AI-based sentiment analysis isn't perfect — spot-check results to ensure accuracy, especially with sarcasm and nuance.
Track sentiment over time, not just at a point. Shifts in sentiment often precede changes in engagement or churn.
Segment sentiment by topic to identify specific strengths and weaknesses rather than just an overall score.
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Category
15 terms in this category
Social Listening
Social listening is the practice of monitoring social media platforms for mentions of your brand, competitors, industry keywords, and relevant topics.
Share of Voice
Share of voice (SOV) measures how much of the online conversation in your industry or niche is about your brand compared to competitors.
Social Media Audit
A social media audit is a comprehensive review of your social media presence — accounts, content, performance metrics, audience, and competitive positioning.
Social Proof
Social proof is the psychological phenomenon where people look to others' actions to determine correct behavior.
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