What is Named Entity Recognition? 🤖

Named Entity Recognition (NER) is the process of identifying and classifying named entities in text into predefined categories such as:

• 👤 Person (e.g., John)
• 🏢 Organization (e.g., Microsoft)
• 📍 Location (e.g., Paris)
• 📅 Date (e.g., 2006)
• 🔢 Quantity (e.g., 300 shares)

Example: 📌

Input: "Apple was founded by Steve Jobs in 1976 in California."

Output:

• 👤 Person: Steve Jobs
• 🏢 Organization: Apple
• 📍 Location: California
• 📅 Date: 1976

Purpose of NER: 🎯

• Context Understanding: Helps in grasping the significance of entities within a document.
• Information Extraction: Facilitates the extraction of relevant information for various applications like search engines, content categorization, and more.

Named Entity Recognition