SOCIAL MEDIA SENTIMENT ANALYSIS TOOL
SOCIAL MEDIA
SENTIMENT ANALYSIS
TOOL
Uncover Root Causes of Negative Feedback, identify Hidden Pain Points Before They Escalate
No Credit Card Required
Why Sentiment Analysis Matters for Your Brand
89% of consumers read reviews before purchasing
Detect ad sentiment risks in real-time to optimize campaign ROI
Improve customer satisfaction by addressing page comment frustrations
Automated monitoring across Facebook, Instagram platforms
Multidimensional Sentiment Analysis
Emotion detection: Anger, frustration, disappointment (with severity scoring)
Context-aware AI distinguishes sarcasm, slang, and cultural nuances
Root Cause Diagnosis
AI-driven topic clustering: "Shipping delays" vs. "Product quality" complaints
Trend alerts for sudden sentiment drops (e.g., post-campaign backlash)
Actionable Insights Dashboard
Prioritized issue ranking with suggested responses
Automated report generation (PDF/CSV) for stakeholder sharing
TRUSTED BY GLOBAL BRANDS
"Reduce by 47% within 3 months"
Reduced negative comments by 47% in 3 months by addressing recurring pain points flagged by the tool.
Brian Clark
Marketing Director
"Reduce by 47% within 3 months"
Reduced negative comments by 47% in 3 months by addressing recurring pain points flagged by the tool.
Brian Clark
Marketing Director
"Reduce by 47% within 3 months"
Reduced negative comments by 47% in 3 months by addressing recurring pain points flagged by the tool.
Brian Clark
Marketing Director
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FREQUENTLY ASKED QUESTIONS
Yes! Our AI catches subtle tones like "Wow, great service... not!" or passive-aggressive emojis (🙃). It analyzes word choice, context and even emoji combinations to flag disguised complaints other tools miss.
It's an AI tool that scans comments, ads, and posts to detect emotions (positive/negative/neutral), helping brands spot trends and avoid PR crises.
It spots angry 😠 or fake 😒 reactions in comments, so you can quickly fix misleading creatives. One brand cut negative feedback by 55% after switching to more authentic images flagged by our tool.
Our NLP supports 50+ languages with dialect-specific models (e.g., US vs. UK English).