Comments Analytics

Comments Analytics

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Comments Analytics Q&A

What is Comments Analytics?

Comments Analytics is a platform that extracts and analyzes comments from various sources, such as web pages, social media posts, and videos. It uses AI-powered technology to provide valuable insights into customer thoughts, feelings, motivations, and decision-making processes.

How to use Comments Analytics?

To use Comments Analytics, you can import your comments using various methods, including copy/paste, website crawling, or uploading an Excel CSV/XLSX file. The platform supports 23 languages and uses advanced natural language processing (NLP) techniques to analyze the comments and extract key phrases. You can easily customize and deploy the models to obtain clean insights.

What types of comments can be analyzed?

Comments Analytics can analyze comments from various sources, including web pages, social media posts, videos, and more.

What languages are supported for comment analysis?

Comments Analytics supports analysis in 23 languages, including English, Spanish, French, German, Chinese, and more.

Can I customize the analysis for different websites?

Yes, Comments Analytics allows flexibility in customizing inference models to analyze texts from different websites.

How can Comments Analytics help improve marketing strategies?

By providing insights into customer preferences, pain points, and areas for improvement, Comments Analytics can help optimize marketing strategies and develop more effective campaigns.

Is technical coding knowledge required to use Comments Analytics?

No, Comments Analytics offers a user-friendly interface and pre-built models, allowing users to obtain comments insights without any coding skills.

Comments Analytics's Core Features

  • Sentiment Analysis: Extracts subjective information and emotions from comments to understand the social sentiment of a brand or product.
  • Named Entity Recognition: Locates and classifies named entities mentioned in unstructured text.
  • Key Phrases Extraction: Extracts the most important words and expressions from comments to identify popular topics of discussion.
  • Predict Customers' Needs: Utilizes machine learning models to predict future customer needs and preferences.
  • No-Code Text Analytics: Provides a user-friendly interface for obtaining comments insights with no coding skills required.
  • Scalability: Handles a large number of requests in real-time and offers scalable infrastructure for increased workload or demands.
  • Immediate Support: Offers 24/7 ticket support, dedicated sales managers, and available engineers to assist users.
  • Custom Analysis and Websites: Allows flexibility in customizing inference models for texts in different websites and provides custom insights from machine learning models.
  • Multiple Use Cases: Provides insights from videos, social posts, product pages, and more to improve marketing strategies, product offerings, and customer loyalty.

    Comments Analytics's Use Cases

  • Social media monitoring and reputation management
  • Customer experience analysis
  • Feedback analysis for product or content improvement
  • Identifying customer preferences and pain points
  • Developing effective marketing strategies
  • Increasing customer loyalty
  • Understanding consumer sentiment towards brand or product

    Comments Analytics Traffic

    Monthly Visits: 6.7K
    Avg.Visit Duration: 00:05:20
    Page per Visit: 0.21
    Bounce Rate: 12.55%
    Feb 2023 - Mar 2024 All Traffic
    Geography
    Top 5 Regions Indonesia: 10.53%
    United States: 10.32%
    Nigeria: 9.83%
    Finland: 8.37%
    India: 7.58%
    Feb 2023 - Mar 2024 Desktop Only
    Traffic Sources
    Search: 52.40%
    Referrals: 47.60%
    Mail: 0.00%
    Direct: 0.00%
    Social: 0.00%
    Display Ads: 0.00%

    Comments Analytics Categories: AI Analytics Assistant

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