Tools to analyze customer's comments

Valuable, clear, considerable, and remarkable insights from video comments, social post comments, product page reviews, and more – to help you better understand the thoughts, feelings, motivations, and decision-making processes of your customers text.

Meet our intuitive features

AI-powered technology to analyze the feedbacks of customers to present clean insights. Improve your customer experience and analyze sentiment easily.

Sentiment Analysis

Sentiment analysis is contextual mining of text that extracts subjective information in the source materials and helps businesses to understand the social sentiment of their brand, product or content while monitoring online comments.

Sentiment analysis looks at the emotion encoded in a text. It is widly used to analyze customer feedback, survey responses, and video comments. Social media monitoring, reputation management, and customer experience are just a few areas that can benefit from sentiment analysis.

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sentiment analysis

Keywords Extraction

Keywords extraction is commonly used to extract key information from a series of comments. It is a text analysis method that involves Natual Language Processing (NLP) methods to extract the most important words and expressions from the text.

You’ll be able to see what topics are causing the most discussion among your consumers in comments, and automating the process will save your customer service unit time. Word clouds or tag clouds are another examples of keyword extraction. They show visualizations of a text’s most frequently used words in word clusters.

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word cloud

Category Extraction

Category extraction in comments analytics involves automatically identifying and classifying comments or feedback into predefined categories or topics. This process utilizes natural language processing (NLP) and machine learning techniques to understand the content of comments and assign them to relevant categories.

For businesses, category extraction offers a range of benefits. Including streamlines the analysis of large volumes of customer feedback, making it easier to pinpoint the most discussed topics or issues. Additionally, it provides valuable insights for product development, customer service enhancements, and marketing strategies.

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category extraction

The world's most remarkable analysis insights.

36.5 trillion

paragraphs comments tranied in our machine learning models.

500 million

keyword phrases extracted

Only One

languages supported in analytics insights


Language Supports


Analytics Services


SaaS delivery model and on-demand software

Artificial Intelligence

Using Machine Learning Models

Comments Analytics quality of service

No-Code Text Analytics

Simply get your comments insights with no coding skills

  • using pre-build models to get clean insights
  • simple import/export methods to obtain your comments as text
  • One-click deployment

Easy input comments options

import your comments of website in different way to analysis

  • Input your comments with Google Spreadsheet option
  • Using Google Chorome extention to extract comments from platforms like Youtube
  • Excel csv/xlsx file upload

No translations

23 languages covered in our models

  • Advanced natural language processing (NLP) analyzes data
  • Machine Translation as the instant modification of text from one language to another utilizing artificial intelligence
  • Rule-based Machine Translation


Handeling many requests in real time

  • Best design models using the right tools and frameworks
  • Dedicated servers
  • organization's capacity to adapt to increased workload or market demands

Immediate support

Increase our user experience by answering the needs of our customers

  • 24/7 ticket support
  • Dedicated sale managers
  • Available engineers for your questions

Custom analysis and websites

Flexibility for customizing the inference models for texts in different websites

  • Custom insights from machine leaning models
  • Input comments from various websites
  • Different reports needed for business (contact us)