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NLP-based text analyzer to improve customer service

Use Natural Language Processing to enhance your branding and customer service by extracting insights, sentiments, and meanings from textual data.

Use case examples:
Customer Feedback and Sentiment Analysis
Investigate customer feedback from various sources such as surveys, social media, or online reviews to understand customer preferences and pain points, identify areas for improvement, and make data-driven decisions to enhance customer satisfaction.
Social Media Monitoring and Brand Reputation Management
Monitor social media platforms for mentions of a company, its products, or competitors to gauge brand sentiment, identify emerging trends, and respond to customer inquiries or complaints in real-time.
Personalization and Recommendation Systems
Analyze user preferences, behaviors, and interactions to personalize customer experience. By understanding user intent and context, businesses can deliver targeted recommendations, product suggestions, and promotional offers, leading to higher conversion rates and customer satisfaction.

Our demo showcases the capabilities of modern Natural Language Processing (NLP) systems to understand the structure and meaning of human language.

Follow these steps to test the demo:

1
Input your text or use our default sample.
2
Select the domain.
3
Click "Analyze" and get the result.

Words (min. 10; for text summaries min. 40): 0 / 900

Remember, the demos presented on our platform are still not the final products. Instead, think of them as the foundation typically laid at the start of a project.
As the project makes progress, models and methods will be refined through iterative training on your datasets, and customized pre-processing and post-processing to meet your business needs.

CONTACT US

Let's discuss your project! Our team will review the details and respond within one business day.

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