Comments Analytics
Analyze customer feedback to improve brand sentiment and experience
Overview
Comments Analytics uses AI to analyze customer comments from surveys, social media, and reviews. It identifies emotions, extracts key topics, and organizes feedback into categories to help businesses understand customer needs. The tool integrates with platforms like YouTube and Google Sheets for easy data collection and reporting.
Key Features
Sentiment Analysis
Detects emotional tone in comments to gauge brand perception
Keyword Extraction
Automatically identifies most-discussed topics in feedback
Category Extraction
Classifies comments into predefined business-relevant categories
Multi-Source Integration
Works with YouTube, Google Sheets, Excel, and Chrome
One-Click Deployment
Quick setup without technical configuration
Use Cases
Analyze YouTube comment sentiment
Process customer survey responses
Generate brand reputation reports
Track product feedback trends
Categorize support ticket themes
Pros & Cons
Pros
- Advanced NLP for accurate text analysis
- Direct integration with Google Workspace tools
- Customizable business reports
- 24/7 technical support
Cons
- Only supports English language analysis
- Advanced features require direct contact
Frequently Asked Questions
What languages does Comments Analytics support?
Currently only supports English language analysis
Can I analyze YouTube comments?
Yes, through the Chrome extension for YouTube integration
How do I get support?
24/7 ticket support and dedicated engineers available
Integrations
Reviews for Comments Analytics
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