AI FundamentalsNLP

Natural Language Processing

NLP

Natural Language Processing (NLP) is the AI subfield that enables computers to understand, analyze, and generate human language. NLP encompasses tasks like text classification, sentiment analysis, named entity recognition, and machine translation — fundamental building blocks of any language-based AI automation.

Why does this matter?

NLP is the foundation for every AI that works with text or speech: evaluating customer feedback, auto-categorizing emails, analyzing contracts, or providing multilingual support. Without NLP, none of the modern AI automations in daily business would be possible.

How IJONIS uses this

We deploy modern NLP technologies — from pre-trained Transformer models to specialized pipelines with spaCy and Hugging Face. For mid-sized businesses, we build NLP solutions that process German and English texts equally well, including your industry-specific terminology.

Frequently Asked Questions

What is the difference between NLP and an LLM?

NLP is the field, LLMs are a technology within it. NLP also includes rule-based methods and classical ML approaches. LLMs are currently the most powerful NLP tools, but not the only ones — for some tasks, leaner models suffice.

Can NLP also handle spoken language?

Yes. Combined with speech-to-text systems (like Whisper), NLP also processes audio data. This enables transcription of customer calls, sentiment detection, and automatic conversion into tickets or CRM entries.

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