
What is Comments Analytics
Comments Analytics leverages AI-powered technology to analyze customer feedback, offering clean insights to improve customer experience and sentiment analysis. The platform provides tools for sentiment analysis, keywords extraction, and category extraction, enabling businesses to monitor online comments, manage reputation, and enhance customer service.
How to Use Comments Analytics
- Import your comments using Google Spreadsheet, Excel CSV/XLSX file upload, or the Google Chrome extension.
- Utilize pre-built models to analyze sentiment, extract keywords, and categorize comments.
- Export the analyzed data and insights for further use in business strategies.
Use Cases of Comments Analytics
Comments Analytics is used for social media monitoring, reputation management, and customer experience enhancement. It helps businesses understand customer sentiment, identify key discussion topics, and streamline feedback analysis.
Features of Comments Analytics
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Sentiment Analysis
Analyzes the emotion encoded in text to understand customer sentiment from feedback, survey responses, and video comments.
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Keywords Extraction
Extracts key information from comments using Natural Language Processing (NLP) to identify frequently discussed topics.
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Category Extraction
Automatically classifies comments into predefined categories using NLP and machine learning, aiding in feedback analysis and strategy development.
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Language Support
Supports analysis in English, with advanced NLP and machine translation capabilities.
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SaaS Delivery
Offers a SaaS delivery model with on-demand software for easy access and scalability.
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24/7 Support
Provides round-the-clock ticket support, dedicated sales managers, and available engineers for assistance.