WebbyLab Blog AI Natural Language Processing (NLP): Can AI Understand Human Language?

Natural Language Processing (NLP): Can AI Understand Human Language?

April 23, 2025
8 minutes to read

Written by:

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Alexey Krol

Chief Business Development Officer at Webbylab

Building bridges between experts, who deliver outstanding solutions, and companies willing to implement modern technologies to grow their business.

FAQ
What is NLP in software development?

Natural language processing (NLP) is the technology that allows software to understand and respond to human language — whether spoken or written. It typically powers chatbot, voice assistance, audio recognition, and other solutions.

How is NLP used for better customer behavior insights?

NLP in AI helps dig into customer conversations — chat messages, emails, reviews, calls — to identify trends, sentiment, and intent. Using semantic analysis and neural network models, you can get a much clearer picture of what your customers want.

What are the most common customer inquiries or key selling points about voice-based AI use cases?

Customers usually ask about accuracy, multilingual support, and real-time performance. The key selling points? Hands-free automation, improved accessibility, and integration with business workflows.

How long does it take to implement an NLP-powered solution?

It depends on complexity. A basic chatbot might take a few weeks, while fully customized AI models understand human conversations (including parsing, synthesis, and context retention) could take 2-9 months.

How do you check the accuracy of an NLP model?

First, identify the goals and metrics you’ll be using to check the NLP model’s accuracy. Then, depending on your objectives, evaluate any of the following: word error rate, precision, recall, or semantic similarity scores.

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