Introduction: AI-powered technology to analyze customer feedback and provide actionable insights.
Added on: Jan 20, 2025
Comments Analytics

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

  1. Import your comments using Google Spreadsheet, Excel CSV/XLSX file upload, or the Google Chrome extension.
  2. Utilize pre-built models to analyze sentiment, extract keywords, and categorize comments.
  3. 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

  • Sentiment Analysis

    Analyzes the emotion encoded in text to understand customer sentiment from feedback, survey responses, and video comments.

  • Keywords Extraction

    Extracts key information from comments using Natural Language Processing (NLP) to identify frequently discussed topics.

  • Category Extraction

    Automatically classifies comments into predefined categories using NLP and machine learning, aiding in feedback analysis and strategy development.

  • Language Support

    Supports analysis in English, with advanced NLP and machine translation capabilities.

  • SaaS Delivery

    Offers a SaaS delivery model with on-demand software for easy access and scalability.

  • 24/7 Support

    Provides round-the-clock ticket support, dedicated sales managers, and available engineers for assistance.

FAQs from Comments Analytics

1

What is Sentiment Analysis?

Sentiment analysis is the process of extracting subjective information from text to understand the emotional tone of customer feedback.
2

How does Keywords Extraction work?

Keywords extraction uses NLP techniques to identify and extract the most important words and phrases from a series of comments.
3

What are the benefits of Category Extraction?

Category extraction helps businesses streamline feedback analysis, identify key discussion topics, and gain insights for product development and marketing strategies.