https://github.com/debugger404/multilanguage-pos

Named Entity Recognition with SpaCy - 🌐📝 Repository for NER using SpaCy's MultiLanguage module. Supports multiple languages.
https://github.com/debugger404/multilanguage-pos

multilanguage named-entity-recognition ner python3 spacy

Last synced: 4 days ago
JSON representation

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

• Host: GitHub
• URL: https://github.com/debugger404/multilanguage-pos
• Owner: deBUGger404
• Created: 2022-04-26T08:48:40.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-08-22T12:59:23.000Z (over 1 year ago)
• Last Synced: 2024-11-05T09:48:35.508Z (about 2 months ago)
• Topics: multilanguage, named-entity-recognition, ner, python3, spacy
• Language: Python
• Homepage:
• Size: 5.86 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

Awesome Lists containing this project

README

        
# 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`) ](https://spacy.io/models/xx)

You can install the required dependencies using the following command:

```bash

pip install spacy

```

## Installation

Clone this repository to your local machine using:

```bash

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

```

Navigate to the repository directory:

```bash

cd your-repo

```

## Usage

Import the required modules:

```python

from spacy.lang.xx import MultiLanguage

import spacy

```

Create an instance of MultiLanguage:

```python

nlp = MultiLanguage()

```

Define the ent_pos function for performing Named Entity Recognition:

```python

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:

```python

# 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!

Hit a Like:thumbsup: