qalsadi 0.3.7

Qalsadi Arabic Morphological Analyzer for Python

Qalsadi Arabic Morphological Analyzer for Python

Developpers: Taha Zerrouki: http://tahadz.com taha dot zerrouki at gmail dot com

Feature s	value
Authors	Authors.md
Release	0.3.6
License	GPL
Tracker	linuxscout/qalsadi/Issues
Website	https://pypi.python.org/pypi/qalsadi
Doc	package Documentaion
Source	Github
Downloa d	sourceforge
Feedbac ks	Comments
Account s	[@Twitter](https://twitter.com/linuxscout) [@Sourceforge](http://sourceforge.net/projects/qalsadi/)

Citation

If you would cite it in academic work, can you use this citation

T. Zerrouki‏, Qalsadi, Arabic mophological analyzer Library for python.,  https://pypi.python.org/pypi/qalsadi/

Features مزايا

• Arabic word Light Stemming.

• Features:

  • Vocalized Text Analyzer,

  • Use Qutrub library to analyze verbs.

  • give word frequency in arabic modern use.

• Requirement:

  • libQutrub: Qutrub verb conjugation library: http://pypi.pyton/LibQutrub

  • PyArabic: Arabic language tools library : http://pypi.pyton/pyarabic

  • Tashaphyne;Arabic Light Stemmer library : http://pypi.python.org/pypi/Tashaphyne/

Applications

• Stemming texts

• Text Classification and categorization

• Sentiment Analysis

• Named Entities Recognition

Installation

pip install qalsadi

Requirements

pip install -r requirements.txt

• libQutrub: Qutrub verb conjugation library: http://pypi.pyton/LibQutrub

• PyArabic: Arabic language tools library : http://pypi.pyton/pyarabic

• Tashaphyne;Arabic Light Stemmer library : http://pypi.python.org/pypi/Tashaphyne/

• Naftawayh : Arabic words tagger: : http://pypi.python.org/pypi/Naftawayh/

• Arramooz-pysqlite : Arabic dictionary

• CodernityDB : No Sql native python database

Usage

Example

filename="samples/text.txt"
import qalsadi.analex as qa
try:
    myfile=open(filename)
    text=(myfile.read()).decode('utf8');

    if text == None:
        text=u"السلام عليكم"
except:
    text=u"أسلم"
    print " given text"

debug=False;
limit=500
analyzer = qa.Analex()
analyzer.set_debug(debug);
result = analyzer.check_text(text);
print '----------------python format result-------'
print result
for i in range(len(result)):
#       print "--------تحليل كلمة  ------------", word.encode('utf8');
    print "-------------One word detailed case------";
    for analyzed in  result[i]:
        print "-------------one case for word------";
        print repr(analyzed);