Natural Language Processing (NLP)

Natural Language Processing (NLP) is a machine learning branch that enables computers to understand, interpret, and generate human language, bridging communication between humans and machines. It powers applications like virtual assistants, chatbots, and sentiment analysis.

How NLP works:

- Computational Linguistics: Analyzes language rules and structure (syntax, morphology, semantics) through tokenization and parsing to interpret text accurately.

- Machine Learning: Trains models on large datasets to recognize patterns, classify sentiments, and improve over time.

- Deep Learning: Uses neural networks to detect complex language patterns, mimicking human cognitive processes for advanced understanding.

Benefits:

- Automates tasks like customer support and data processing.

- Extracts insights from unstructured data (e.g., reviews, chats) to reveal trends and customer sentiments.

- Enhances search with semantic understanding, improving query relevance despite conversational language or typos.

NLP enables smarter, more intuitive interactions between users and technology across industries.