Natural Language Processing (NLP) enables AI to understand, Interpret, and generate human language by using a combination of linguistic sules, machine lerning, and deep learing techniques. Here's how it works:
Tokenization & Text Processing - NLP breaks down into smaller units (words or Phrases) to analyze structure and meaning.
Syntax & grammer Analysis - AI uses parsing to understand sentances structure and relationship between words.
Semantic understanding - Techniques like word embeddings (word2vec, BERT) help AI grasp meanings, context and relationship with words.
Context & Sentiment Analysis - NLP models recognize emotions, intent and nuances using sentiment analysis and contextual modeling.
Named Entity Recognition (NER) - Identifies name, place, date and other impotant entitites within text.
Machine Learning & Deep Learning - AI models are trained on vast datasets to recognize pattern and improve overtime, enhancing comprehensive and response accurately.