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NLP (Natural Language Processing)

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Natural language processing (Natural Language Processing) is a branch of AI that teaches machines to understand human text and voice. Thanks to NLP, the computer does not just see a set of letters, but understands the context, mood and essence of the message.

What is NLP?

Human language is complex. It has slang, sarcasm, synonyms and context. NLP is a bridge between human language and binary machine code.

The main tasks of NLP: • Analysis of tonality (Sentiment Analysis) - is this a positive or negative feedback? • Entity Recognition (NER) - find names, company names, dates in text • Machine translation - Google Translate, DeepL • Text generation - basis for LLM (ChatGPT)

NLP allows businesses to automate communications and analyze thousands of text responses in seconds.

How does NLP work?

The text is divided into tokens (words or syllables). Next, grammar rules or statistical models (neural networks) are applied to determine the relationships between words and the overall meaning of the sentence.

Options for using NLP

01Analysis of reviews

Automatic monitoring of brand mentions. The system itself determines what is praised and what is criticized.

02Smart search

Search on the site understands synonyms, errors in words and user intentions (semantic search).

03Application routing

NLP reads the client's email and automatically sends it to the appropriate department (sales, technical support, accounting).

04Voice assistants

Siri, Alexa, IVR systems in call centers work on the basis of NLP (translating voice into text and understanding it).

/ FAQ

NLP is a general branch of computational linguistics. LLM is a modern, very powerful method within NLP.

/ Related terms

NLP (Natural Language Processing)
/ NLP (Natural Language Processing)

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