Named Entity Recognition identifies and classifies named entities (people, places, organizations, etc.) in text into predefined categories.
Why is NER important?
• Extract structured information from unstructured text
• Build knowledge graphs and databases
• Improve search and information retrieval
• Enable question answering systems
• Support document analysis and summarization
Common Entity Types
👤
PERSON
Names of people, including first names, last names, and titles
🌍
LOCATION
Cities, countries, regions, addresses, landmarks
🏢
ORGANIZATION
Companies, institutions, government agencies
⏰
DATE/TIME
Dates, times, periods, durations
NER in Action
Apple Inc. was founded by
Steve Jobs,
Steve Wozniak, and
Ronald Wayne in
Cupertino, California in
April 1976.
Dr. Smith will visit
Stanford University on
December 15th to present research about
machine learning at the Silicon Valley conference.
Model Confidence Scores
Apple Inc. → ORGANIZATION
98%
Steve Jobs → PERSON
95%
Cupertino, California → LOCATION
92%
April 1976 → DATE
89%
Click on the examples above to explore NER techniques and challenges!