Metadata-Version: 2.1
Name: PartNLP
Version: 0.1.13
Summary: A Python NLP Library for Persian language, by PartDP AI
Home-page: https://github.com/partdpai/PartNLP
Author: Part DP
Author-email: info@partdp.ai
License: UNKNOWN
Description: .. image:: https://raw.githubusercontent.com/partdpai/PartNLP/master/images/PartAiLogo.png
            :align: center
        
        ##############################################
                     PartNLP Project
        ##############################################
        
        
        Overview
        #############
        
            `documentation <https://partdpai.github.io/PartNLP/>`_
        
            This documentation is all about *PartNLP* package. PartNLP designs to help developers to perprocessing their text automatically! Also it has many useful features that makes perprocessing more fun! However, This is not an exhaustive description but it should show you how use the package effortlessly.
        
        
        Introduction
        #############
        PartNLP is an integrated package uses many famous packages. Moreover, PartNLP supports multi languages.
        In the below table you can see all valid operations accomplishing by PartNLP and their corresponder packages.
        
        
        ==============        ==============      ==================================
        Operations               Keyword                   Packages
        ==============        ==============      ==================================
        normalize               NORMALIZE                 HAZM, PARSIVAR
        sent tokenize           S_TOKENIZE                HAZM, PARSIVAR, STANZA
        word tokenize           W_TOKENIZE                HAZM, PARSIVAR, STANZA
        lemmatize               LEMMATIZE                 HAZM,           STANZA
        stem                    STEM                      HAZM, PARSIVAR, STANZA
        ==============        ==============      ==================================
        
        
        Installation
        #############
        for installing, you can simply use pip to install the package.
        
        >>> pip install PartNLP
        
        
        Pipeline Usage Example
        ########################
        
        .. code-block:: python
        
        	>>> from PartNLP import Pipeline
        
        	>>> Pipeline(lang='persian', package='hazm', processors=['W_TOKENIZE', 'LEMMATIZE'], text='این متن، جهت بررسی عملکرد بسته نوشته شده است')
        
                Output of Hazm word tokenizer:
                ['این', 'متن', '،', 'جهت', 'بررسی', 'عملکرد', 'بسته', 'نوشته_شده_است']
                Output of Hazm Lemmatizer :
                ['این', 'متن', '،', 'جهت', 'بررسی', 'عملکرد', 'بسته', 'نویس']
        
        
        Pipeline also can handle missing required data in which should be passed by users. In the below example no `package`, `language` or `processors` entered but
        Pipeline asks you to fill them out.
        
        .. code-block:: python
        
           >>> Pipeline(text='این متن، جهت بررسی عملکرد بسته نوشته شده است')
          ‌Warning: no package selected. ‌List of supported packages:['HAZM', 'PARSIVAR', 'STANZA']
          please enter a valid value: 'hazm'
          ‌Warning: no language selected. ‌List of supported languages:['ENGLISH', 'PERSIAN']
          please enter a valid value: 'persian'
          ‌Warning: no operator selected. ‌List of supported operations for 'hazm' package :['NORMALIZE', 'S_TOKENIZE', 'STEM', 'W_TOKENIZE', 'LEMMATIZE']
        
        
        
        Interface Usage Example
        ########################
        
        In this section we are going to see the simple usage of PartNLP package.
        
        
        .. image:: https://raw.githubusercontent.com/partdpai/PartNLP/master/images/Interface.gif
        
Keywords: natural-language-processing nlp natural-language-understanding
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Information Technology
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
