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Comments Analytics Features

Comments Analytics Features. 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.

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

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