What is NLP (Natural Language Processing)? - Definition & Meaning

Definition

NLP (Natural Language Processing) is a branch of artificial intelligence focused on the interaction between computers and human language. It enables machines to understand, interpret, generate, and meaningfully respond to text and speech.

Technical explanation

NLP encompasses a broad range of tasks and techniques. At the text processing level: tokenization (splitting text into words or subwords), part-of-speech tagging (identifying word classes), named entity recognition (NER, recognizing proper nouns and entities), dependency parsing (analyzing grammatical relationships), and coreference resolution (linking pronouns to their antecedents). At a higher level: sentiment analysis (determining emotional tone), text classification (categorizing text), text summarization (generating summaries), machine translation, question answering, and conversational AI. Traditional NLP used statistical methods and manual feature engineering, but modern NLP is dominated by deep learning and transformers. Pre-trained models like BERT (bidirectional understanding), GPT (text generation), and T5 (text-to-text) have drastically improved the accuracy of NLP tasks. Transfer learning makes it possible to adapt these models for specific tasks with minimal data.

How OpenClaw Installeren applies this

OpenClaw Installeren integrates NLP technology into every AI assistant we deploy. The chatbots use NLP for understanding user questions (intent detection), recognizing entities (such as product names or order numbers), sentiment analysis for detecting customer satisfaction, and multilingual support. This ensures the assistant can conduct natural, human-like conversations.

Practical examples

• An email classification system that automatically categorizes incoming messages as complaints, questions, orders, or compliments via NLP-based sentiment analysis and text classification.
• A smart search engine on a business website that uses NLP to understand what users mean, even when they enter queries with synonyms or typos.
• A social media monitoring tool that analyzes thousands of posts per hour via NLP for brand mentions, sentiment, and trending topics.

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