Show pageBacklinksCite current pageExport to PDFBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. **Named Entity Recognition (NER)** is a task in **Natural Language Processing (NLP)** that involves identifying and categorizing entities mentioned in a text into predefined categories such as: - **Persons** (e.g., *"Elon Musk"*) - **Locations** (e.g., *"New York"*) - **Organizations** (e.g., *"OpenAI"*) - **Dates** (e.g., *"January 18, 2025"*) - **Numerical values** (e.g., *"67 years old"*, *"$10 million"*) - **Products** (e.g., *"iPhone 15"*, *"ChatGPT"*). NER is widely used in applications like **information extraction, sentiment analysis, question answering, and summarization**. named_entity_recognition.txt Last modified: 2025/02/26 22:16by 127.0.0.1