Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and humans through natural language. It enables machines to understand, interpret, and generate human language, making technologies like chatbots, language translation, and sentiment analysis possible.
Key Concepts in NLP
- Tokenization: Splitting text into individual words or phrases (e.g., "Hello world" → ["Hello", "world"])
- Syntax Analysis: Understanding the grammatical structure of sentences
- Semantic Analysis: Extracting meaning from text
- Machine Learning: Training models to recognize patterns in language data
Applications of NLP
- Chatbots 🤖
- Language Translation 🌍
- Sentiment Analysis 😊/😢
- Text Summarization 📝
Challenges in NLP
- Ambiguity in language (e.g., "I saw her duck." → who ducked?)
- Cultural and contextual nuances
- Handling rare or evolving language patterns
For deeper exploration, check our Machine Learning Tutorial to understand how NLP models are trained.