Comments Analytics
Comments Analytics: AI Sentiment & Comment Insights Tool
Comments Analytics uses AI to decode audience sentiment, extract keywords, and categorize comments from YouTube, spreadsheets, and websites.
Overview
Comments Analytics is an AI-powered platform built to turn scattered audience feedback into actionable insight. Whether you're sifting through thousands of YouTube comments, product reviews, or social media chatter, the tool applies sentiment analysis, named entity recognition, and keyword extraction to surface what your audience actually thinks and needs. Instead of manually reading through endless comment threads, teams get clean, categorized data that highlights recurring themes, emotional tone, and emerging topics.
The platform is designed for flexibility, letting users pull in comments from YouTube videos, Google Spreadsheets, Excel files, or live websites via a dedicated Chrome extension. Once imported, the AI engine processes the text and returns structured insights—sentiment scores, key phrases, categories, and recognized entities—making it easier to spot patterns across large volumes of unstructured feedback. With multi-language support baked in, it's built to serve global audiences and diverse content sources.
From marketing teams gauging campaign reception to customer service units identifying recurring complaints, Comments Analytics gives organizations a faster, data-driven way to listen to their audience and act on what they hear.
Capabilities & Features
- Comments Analytics
- Sentiment Analysis
- Named Entity Recognition
- Key Phrases Extraction
- Category Extraction
- Text Analytics
- NLP
- Customer Feedback
- AI
- Machine Learning
Core Features
- AI-powered sentiment analysis for gauging audience mood
- Named entity recognition to identify people, brands, and topics mentioned in comments
- Key phrase and keyword extraction for surfacing recurring themes
- Automatic comment categorization for organizing feedback at scale
- Chrome extension for extracting comments directly from any website
- Multi-language support for analyzing global audience feedback
Use Cases
- Analyzing YouTube video comments to gauge audience sentiment toward content
- Extracting key topics and pain points from customer product reviews
- Categorizing social media comments to quickly identify recurring issues
- Predicting customer needs and preferences through pattern analysis of feedback
- Monitoring brand or entity mentions across large comment datasets
Best For
- Businesses
- Marketing teams
- Customer service units
- Social media managers
- Product development teams
- Researchers
Pros
- •Automates time-consuming manual comment review with AI-driven analysis
- •Supports multiple comment sources including YouTube, spreadsheets, and websites
- •Chrome extension adds flexibility for extracting comments from virtually any page
- •Multi-language capability makes it useful for global brands and audiences
- •Tiered plans scale from free experimentation to high-volume team usage
Cons
- •Query limits on lower-tier plans may restrict analysis of very large comment volumes
- •Category extraction and dedicated servers are locked behind paid plans
- •Accuracy of sentiment and entity recognition may vary depending on language and context
- •No visible support for real-time or continuous monitoring beyond manual imports
How to Use
1. Choose your comment source: YouTube video, Google Spreadsheet, Excel file, or a live website via the Chrome extension.
2. Import the comments into the Comments Analytics platform.
3. Let the AI engine process the text using sentiment analysis, entity recognition, keyword extraction, and categorization.
4. Review the generated insights dashboard to identify sentiment trends, key topics, and common categories.
5. Use the findings to inform marketing decisions, product updates, or customer service responses.
Frequently Asked Questions
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Pricing
Comments Analytics offers a free plan with 50 queries and core AI features, scaling up to a Starter plan at $39/month for 1,000 queries with category extraction, and a Team plan at $285/month offering 10,000 queries plus dedicated servers.
Pricing data is provided as a summary. Visit the vendor website for full tier details.