#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
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
Release files for qalsadi 0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qalsadi-0.3.tar.gz | 224.9 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qalsadi-0.3-py3-none-any.whl | Python 3 | none | any | Details |
| qalsadi-0.3-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 4.7 MB
Release files / qalsadi-0.3.tar.gz
| Download URL | qalsadi-0.3.tar.gz |
|---|---|
| Size | 224.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
Release files / qalsadi-0.3-py3-none-any.whl
| Download URL | qalsadi-0.3-py3-none-any.whl |
|---|---|
| Size | 4.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / qalsadi-0.3-py2-none-any.whl
| Download URL | qalsadi-0.3-py2-none-any.whl |
|---|---|
| Size | 246.9 kB |
| Tags | Python 2 |
|
SHA-256 checksum How to use checksums |
6afdb6a208068fb1c0d1e3154cc159d1298e4cce6594e2cc725aa29d7257f4ef
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |