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How Does Natural Language Processing Use Machine Learning?

machine learning for natural language processing

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  • How Does Natural Language Processing Use Machine Learning?

    Turing

    Author is a seasoned writer with a reputation for crafting highly engaging, well-researched, and useful content that is widely read by many of today's skilled programmers and developers.

Frequently Asked Questions

With the help of NLP, computer systems can read, understand, and interpret human languages, whether written or spoken. The goal is to automate tasks like sentiment analysis, translation, spell check, document classification, etc.

Applying NLP to AI products like virtual assistants enables humans to talk to machines like they would with another human being. For example, asking assistants like Siri and Alexa: “How’s the weather?” or “What's the time?” and receiving an answer is only possible because NLP is embedded into these AI systems.

Similar to how virtual assistants leverage NLP to process spoken language, chatbots use NLP to converse over text-based communication. Businesses usually use them to automate assistance that customers are looking for on their websites. Chatbots are programmed to understand the intent of the customer and support them accordingly, rather than just respond with a few chosen replies.

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