deBUGger404 / MultiLanguage-POS

Named Entity Recognition with SpaCy - 🌐📝 Repository for NER using SpaCy's MultiLanguage module. Supports multiple languages.

Named Entity Recognition using SpaCy

This repository contains code for performing Named Entity Recognition (NER) using SpaCy's MultiLanguage module. The ent_pos function in the code utilizes the spacy.lang.xx library to perform NER on input text. The code is written in Python and supports multiple languages for entity recognition.

Getting Started

Prerequisites

• Python 3.x
• SpaCy library (spacy)

You can install the required dependencies using the following command:

pip install spacy

Installation

Clone this repository to your local machine using:

git clone https://github.com/your-username/your-repo.git

Navigate to the repository directory:

cd your-repo

Usage

Import the required modules:

from spacy.lang.xx import MultiLanguage
import spacy

Create an instance of MultiLanguage:

nlp = MultiLanguage()

Define the ent_pos function for performing Named Entity Recognition:

def ent_pos(text):
  nlp = spacy.load('xx_ent_wiki_sm')
  doc = nlp(str(text))
  if doc.ents:    
    lang_list = []
    for ent in doc.ents:
        lang_list.append([ent.text, ent.label_, ent.start_char, ent.end_char])
    return lang_list
  else: 
    print('No named entities found.')

Examples for English and Hindi sentences:

# Example for an English sentence
english_text = "Apple is looking at buying U.K. startup for $1 billion"
print(ent_pos(english_text))

# Example for a Hindi sentence
hindi_text = "फ्रांस के राष्ट्रपति कौन हैं?"
print(ent_pos(hindi_text))

Contributing

If you'd like to contribute to this project, feel free to open an issue or submit a pull request. We welcome any improvements or additional features!

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