Comments Analytics

A platform powered by Artificial Intelligence technology examines comments from various sources, offering valuable information about customer feelings and opinions.

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What is Comments Analytics?

Comments Analytics is a tool that gathers and examines comments from different places, like websites, social media posts, and videos. It utilizes Artificial Intelligence technology to offer useful information about customer thoughts, emotions, motivations, and decision-making processes.

How to use Comments Analytics?

To utilize Comments Analytics, import your comments through different methods such as copying and pasting, crawling websites, or uploading a CSV or XLSX file from Excel. The platform is compatible with 23 languages and utilizes sophisticated Artificial Intelligence (AI) techniques, specifically advanced natural language processing (NLP), to examine comments and identify essential phrases. You can easily personalize and deploy the models to get clean insights.

Features

Emotion Detection: Pulls out personal opinions and feelings from comments to grasp the public attitude towards a brand or product.

Use Cases

Tracking online presence and managing public image
Customer experience analysis
Analyzing user feedback for product enhancement and content refinement.
Recognizing what customers like and what causes them difficulties
Creating successful marketing plans
Boosting long-term customer commitment
Analyzing Public Opinion about a Brand or Product

Frequently Asked Questions

Comments Analytics is a tool that gathers and examines comments from multiple places, including websites, social media posts, and videos. It utilizes AI-driven technology to offer useful information about what customers think, feel, what motivates them, and how they make decisions.

To utilize Comments Analytics, you can bring in your comments through different methods, such as copying and pasting, crawling websites, or importing an Excel CSV/XLSX file. The platform backs 23 languages and utilizes sophisticated AI-powered NLP techniques to examine the comments and pull out key phrases. You can easily tailor and deploy the models to get clear insights.

Comments Analytics is capable of examining comments gathered from numerous online platforms such as websites, social media updates, video content, and others.

Comments Analytics offers analysis in numerous languages, totaling 23, including English, Spanish, French, German, Chinese, and several others.

Customization options are available in Comments Analytics, enabling users to adapt inference models for text analysis from various websites.

Providing valuable information about customer likes, difficulties, and areas needing improvement, Comments Analytics helps make marketing plans better and creates more successful campaigns.

No, Comments Analytics provides an intuitive interface and pre-designed models, enabling users to gain comment insights without requiring coding expertise.

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