nlp_named_entity_spacy

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Filename: nlp_named_entity_spacy.py
# Author: Jeoi Reqi

"""
This script performs Named Entity Recognition (NER) using SpaCy.

Requirements:
- Python 3
- SpaCy library
- 'en_core_web_md' SpaCy model

Usage:
- Run the script, and it will identify named entities in the provided text.

Example:
python named_entity_spacy.py
Output: Named Entities: [('Natural Language Processing', 'ORG')]
"""

import spacy

# Load the 'en_core_web_md' SpaCy model
nlp = spacy.load("en_core_web_md")

# Sample text
text = "Natural Language Processing is a fascinating field. It involves the use of computers to understand and process human language."

# Process the text using SpaCy
doc = nlp(text)

# Named Entity Recognition using SpaCy
entities = [(ent.text, ent.label_) for ent in doc.ents]
print("Named Entities:", entities)