What is NLP (Natural Language Processing)?
Definition
NLP (Natural Language Processing) is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language in valuable ways. It bridges the gap between human communication and computer understanding, powering everything from chatbots to sentiment analysis.
Core NLP Tasks
π€ Text Classification
Categorizing text into predefined categories (spam detection, topic labeling)
π Machine Translation
Converting text from one language to another (Google Translate, DeepL)
π Question Answering
Extracting or generating answers from text (customer support bots)
π¬ Text Generation
Creating human-like text (content creation, code generation)
π Named Entity Recognition
Identifying and classifying entities (names, dates, locations)
π Sentiment Analysis
Determining emotional tone in text (reviews, social media monitoring)
Evolution of NLP
- Rule-Based (1950s-1990s): Hand-crafted rules for language processing
- Statistical ML (1990s-2010s): Algorithms learning from data patterns
- Deep Learning (2010s-2020): Neural networks for better context understanding
- Transformer Era (2018-Present): Transformers and LLMs revolutionizing the field