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Named Entity Recognition In NLP

This article describes Named Entity Recognition in NLP.

Purpose

Named Entity Recognition (NER) is the task of identifying and classifying entities. For example, People (e.g., Sachin Tendulkar), Organizations (e.g., Google), Locations (e.g., New Delhi)

Example

import spacy

nlp = spacy.load("en_core_web_sm")
doc = nlp("Barack Obama was born in Hawaii and served as the US President.")

for ent in doc.ents:
    print(ent.text, ent.label_)

Output

Posted By -	Karan Gupta

Posted On -	Monday, September 1, 2025

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