Comments Analytics

What is Comments Analytics?

Comments Analytics is an AI-powered technology used to analyze customer feedback and extract insights from comments. It includes features such as sentiment analysis, keywords extraction, and category extraction to help businesses understand customer sentiment, identify key topics, and classify feedback into relevant categories. This tool is beneficial for improving customer experience, analyzing social sentiment, and enhancing product development, customer service, and marketing strategies. The insights extracted can assist in streamlining the analysis of large volumes of feedback, identifying customer pain points, and predicting future customer needs.

Who created Comments Analytics?

Comments Analytics was created by an undisclosed founder and launched on May 22, 2023. The company behind Comments Analytics offers AI-powered technology to analyze customer feedback through sentiment analysis, keyword extraction, and category extraction. The platform aims to improve customer experience by providing valuable insights into sentiment, key topics, and customer needs.

What is Comments Analytics used for?

• No-Code Text Analytics
• Sentiment analysis capability
• Named entity recognition
• Key phrase extraction
• Predicts customers' needs
• Pre-built models support
• Advanced NLP features
• Analysis support for 23 languages
• Supports csv/xlsx imports
• Supports visualizing comments with word clouds

Who is Comments Analytics for?

• Customer Service
• Marketing
• Product development

How to use Comments Analytics?

To effectively utilize Comments Analytics, follow these steps:

1. Understanding Customer Feedback: Comments Analytics uses AI to extract and analyze customer feedback from various sources like videos and social media to provide valuable insights on customer preferences and areas for improvement.

2. Features Overview: The tool offers sentiment analysis, named entity recognition, key phrase extraction, and prediction of customer needs using natural language processing (NLP).

3. Usage and Input Methods: Comments can be inputted using various methods such as direct copy-paste, a Google Chrome extension for website comments extraction, or by uploading an Excel CSV/XLSX file.

4. Multi-Language Support: The tool supports analysis in 23 languages through advanced NLP and machine translation features.

5. No-Coding Requirement: No coding knowledge is needed as the tool provides pre-built models and a no-code text analytics interface for easy data insights extraction.

6. Customization and Deployment: Users can customize the tool according to their specific website needs and deploy one-click analyses of comments with features like word clouds and machine learning model utilization.

7. Scalability and User Support: Comments Analytics can handle large data volumes and offers real-time scalability with 24/7 technical support for immediate assistance.

8. Reports and Insights: The tool provides clean and clear insights through pre-built AI models, enabling businesses to enhance customer service, marketing strategies, and product or service improvements.

9. Subscription and Support: All plans include essential features like comments extraction and come with lifetime credits. Customer support is available 24/5 for any queries or feedback.

10. Custom Plans: Custom plans are available to fine-tune models for specific use cases, ensuring tailored insights for different businesses.

By following these steps, businesses can leverage Comments Analytics to gain valuable customer insights, improve services, and develop effective marketing strategies.