What is Natural Language Processing (NLP)? - Definition & Meaning
Learn what NLP (Natural Language Processing) is, how computers understand and process human language, and which applications exist for AI chatbots and automation.
Definition
Natural Language Processing (NLP) is a branch of artificial intelligence that enables computers to understand, interpret, and generate human language. NLP combines linguistics with machine learning to analyze and process text and speech.
Technical explanation
NLP encompasses techniques such as tokenization, stemming, lemmatization, named entity recognition (NER), sentiment analysis, machine translation, and text classification. Modern NLP uses transformer architectures (BERT, GPT) and word embeddings (Word2Vec, GloVe). Key applications include intent detection for chatbots, document classification, automatic summarization, and question-answering systems. NLP pipelines often combine rule-based methods with deep learning models for optimal accuracy.
How AVARC Solutions applies this
AVARC Solutions applies NLP in AI chatbots, document processing, sentiment analysis, and automated customer service. We build systems that classify emails, analyze contracts, and convert natural language into structured actions for business processes.
Practical examples
- An AI assistant that answers customer questions in natural language and automatically creates support tickets based on message content.
- A contract analysis tool that scans legal documents and automatically extracts key clauses, deadlines, and parties.
- A sentiment analysis system that performs social media monitoring to track brand reputation in real time.
Related terms
Frequently asked questions
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