https://github.com/verifid/ner-d

Python module for Named Entity Recognition (NER) using natural language processing.
https://github.com/verifid/ner-d

language-processing named-entity-recognition natural-language-processing ner recognition

Last synced: 8 months ago
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Python module for Named Entity Recognition (NER) using natural language processing.

• Host: GitHub
• URL: https://github.com/verifid/ner-d
• Owner: verifid
• License: mit
• Created: 2019-06-13T07:52:34.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2021-05-30T18:28:54.000Z (over 4 years ago)
• Last Synced: 2025-05-26T10:57:25.955Z (9 months ago)
• Topics: language-processing, named-entity-recognition, natural-language-processing, ner, recognition
• Language: Python
• Homepage: https://nerd.verifid.app
• Size: 40 KB
• Stars: 13
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: COPYING

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README

          
ner-d

=====

.. image:: https://img.shields.io/pypi/v/ner-d.svg

    :target: https://pypi.org/pypi/ner-d/

.. image:: https://img.shields.io/pypi/pyversions/ner-d.svg

    :target: https://pypi.org/project/ner-d

.. image:: https://travis-ci.org/verifid/ner-d.svg?branch=master

    :target: https://travis-ci.org/verifid/ner-d

.. image:: https://codecov.io/gh/verifid/ner-d/branch/master/graph/badge.svg

    :target: https://codecov.io/gh/verifid/ner-d

.. image:: https://pepy.tech/badge/ner-d

    :target: https://pepy.tech/project/ner-d

**ner-d** is a Python module for Named Entity Recognition (NER). Named entity recognition (NER) (also known as entity identification, entity chunking and entity extraction)

is a subtask of information extraction that seeks to locate and classify named entity mentions in unstructured text into pre-defined categories such as the person

names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.

Gives you easy use with a single main function and flexibility for selecting language models. It automatically downloads models if not downloaded before and links on system

and finds the entities from given text block.

Prerequisites

=============

* A single dependency listed on ``requirements.txt`` and will be installed when you install with **pip**.

Installation

============

* Install module using ``pip``::

    $ pip install ner-d

* Download the latest ``ner-d`` library from: https://github.com/verifid/ner-d and install module using ``pip``::

    $ pip install -e .

* Extract the source distribution and run::

    $ python setup.py build

    $ python setup.py install

Usage

=====

* ``ner``:

.. code:: python

    from nerd import ner

    doc = ner.name("""GitHub launched April 10, 2008, a subsidiary of Microsoft, is an American web-based hosting service for version control using Git.

                       It is mostly used for computer code. It offers all of the distributed version control and source code management (SCM) functionality

                       of Git as well as adding its own features.""", language='en_core_web_sm')

    text_label = [(X.text, X.label_) for X in doc]

    print(text_label)

    // [(u'GitHub', u'ORG'), (u'April 10, 2008', u'DATE'), (u'Microsoft', u'ORG'), (u'American', u'NORP'), (u'Git', u'PERSON'), (u'SCM', u'ORG'), (u'Git', u'PERSON')]

CLI

===

.. code:: bash

    // Downloads language model

    python -m nerd -d en_core_web_sm

    // Load language model

    python -m nerd -l en_core_web_sm

    // Find entities from text

    python -m nerd -n "GitHub launched April 10, 2008, a subsidiary of Microsoft, is an American web-based hosting service for version control using Git.

                       It is mostly used for computer code. It offers all of the distributed version control and source code management (SCM) functionality

                       of Git as well as adding its own features."