Metadata-Version: 1.1
Name: qalsadi
Version: 0.3
Summary: Qalsadi Arabic Morphological Analyzer for Python
Home-page: http://qalsadi.sourceforge.net/
Author: Taha Zerrouki
Author-email: taha. zerrouki@gmail .com
License: GPL
Description: #Qalsadi Arabic Morphological Analyzer for Python
        
        
        
          Developpers:  Taha Zerrouki: http://tahadz.com
            taha dot zerrouki at gmail dot com
        
        Features |   value
        ---------|---------------------------------------------------------------------------------
        Authors  | [Authors.md](https://github.com/linuxscout/qalsadi/master/AUTHORS.md)
        Release  | 0.2 
        License  |[GPL](https://github.com/linuxscout/qalsadi/master/LICENSE)
        Tracker  |[linuxscout/qalsadi/Issues](https://github.com/linuxscout/qalsadi/issues)
        Website  |[https://pypi.python.org/pypi/qalsadi](https://pypi.python.org/pypi/qalsadi)
        Doc  |[package Documentaion](http://pythonhosted.org/qalsadi/)
        Source  |[Github](http://github.com/linuxscout/qalsadi)
        Download  |[sourceforge](http://qalsadi.sourceforge.net)
        Feedbacks  |[Comments](http://tahadz.com/qalsadi/contact)
        Accounts  |[@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/
        ```
        or in bibtex format
        ```bibtex
        @misc{zerrouki2012qalsadi,
          title={qalsadi, Arabic mophological analyzer Library for python.},
          author={Zerrouki, Taha},
          url={https://pypi.python.org/pypi/qalsadi},
          year={2012}
        }
        ```
        
        
        ##   مزايا
         
         
        ## Features
         - 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
        ----------------
         - 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 : Arabic dictionary
         - CodernityDB : No Sql native python database 
          
        Usage
        =====
        
        
        
        
        ### Example 
        
        ``` python
        filename="samples/text.txt"
        
        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=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);
        ```
        
        
        
        
        
        Files
        =====
        * file/directory    category    description 
        
        
        
        ## Featured Posts
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Natural Language :: Arabic
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Text Processing :: Linguistic
