Natural Language Processing (NLP) is a branch of artificial intelligence focused on enabling machines to understand, interpret, and generate human language. It combines linguistics, computer science, and machine learning to analyze and manipulate text and speech data.
Key Concepts in NLP ⚙️
- Tokenization: Splitting text into individual words or phrases (e.g.,
split_text). - Syntax Analysis: Understanding sentence structure (e.g.,
parse_sentence). - Semantic Analysis: Extracting meaning from text (e.g.,
analyze_meaning). - Machine Learning Models: Algorithms like BERT or GPT for language understanding (e.g.,
language_model).
Applications of NLP 🌍
- Chatbots and virtual assistants (e.g.,
chatbot). - Sentiment analysis in social media (e.g.,
sentiment_analysis). - Language translation services (e.g.,
translation_service). - Text summarization tools (e.g.,
summarize_text).
Learning Resources 📘
- Explore NLP Applications for practical examples.
- NLP Fundamentals Guide for deeper technical insights.
- Advanced NLP Techniques to dive into cutting-edge research.