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This is code with Modern standard arabic training dataset

Project description

Yarub


This is a head start to Modern standard arabic training dataset library which provides Morphological, Named Entity recognization, Sentiment Analysis, Word Embedding, Dialect Identification,Part of speech and so on training dataset.

Downloading the library with specific version using pip command.


pip install yarub==0.1.0

Basic Instruction


  • You need to first install dependent libraries before download like

    requests, zipfile,os, io and struct.

  • After successful installation of dependent library you can install

    Yarub library with pip command.

Example of Yarub


import yarub  # Load Library package

from yarub import load_sentiment,load_ner,load_dialect,load_word_embedding,load_morphology,load_pos

OR

==

from yarub import *    # Second method to call library and load entire function.

Load the dataset in your local system.


df = load_sentiment()   # This function wil load `Sentiment analysis` training dataset



df1 = load_ner()        # This function will load `Named entity recognization` training dataset.



df2 = load_dialect()     # This function will load modern standard arabic `Dialect identification` training dataset.



df3 = load_word_embedding()   # This function will load `Word embedding` training dataset.



df4 = load_morphology()       # This function will load  `Morphological analysis` training dataset.



df5 = load_pos()             # This function will load `Part of speech` training dataset.

Project details


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