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Content preview:  Thanks Sharaf for considering the comments and the feedback,
   hopefully that will push the project forward. I would also suggest if 
possible
   -If you are not already working on it- to include additional weighting scheme
   for the user to choose from, such as tf.idf or other summarization algorithms
   (Maximum likelihood ..etc). This will provide different perspectives about
   how to look at every chapter and also will allow to validate various 
hypothesis
   regarding surahs topics. [...] 

Content analysis details:   (6.1 points, 5.0 required)

 pts rule name              description
---- ---------------------- --------------------------------------------------
 0.0 STOX_REPLY_TYPE        STOX_REPLY_TYPE
 2.7 TVD_FINGER_02          TVD_FINGER_02
 3.4 FH_DATE_PAST_20XX      The date is grossly in the future.


--- Begin Message --- Thanks Sharaf for considering the comments and the feedback, hopefully that will push the project forward. I would also suggest if possible -If you are not already working on it- to include additional weighting scheme for the user to choose from, such as tf.idf or other summarization algorithms (Maximum likelihood ..etc). This will provide different perspectives about how to look at every chapter and also will allow to validate various hypothesis regarding surahs topics.

Regards,
Ahmed Abdelali
New Mexico State University

----- Original Message ----- From: "Abdulbaqi Sharaf" <[email protected]>
To: "El-Haj, Mahmoud" <[email protected]>; <[email protected]>
Sent: Monday, January 25, 2010 2:48 AM
Subject: RE: word cloud for Qur'anic chapters


Salam Bayan, Mahmoud, Eric and others,

thanks for your comments, this is just an initial attempt adopting this open source script (http://www.lotsofcode.com/demo/tag-cloud-v2/)

As Mahmoud highlighted the core of the cloud is font size, color and style, and I assure Bayan that the order is totally random, and you can try the same sura twice and each occurance gives different order, I just wanted to highlight more frequent words with bigger font, I hope I will be able to enhance this with:
- richer set of function words
- better font style, size and color
- each word links to it's concordance and morphological feature from Quranic Arabic Corpus
- including English terms as well

Mahmoud, my stoplist is just based on initial observation and still there could be many more to include, and would appreciate using your list if available as well as other resources you might already have.

thanks again for your comments...
best regards,

Abdul-Baquee M. Sharaf
PhD Student
Language Technologies Group
School of Computing
University of Leeds
UK
________________________________________
From: El-Haj, Mahmoud [[email protected]]
Sent: 25 January 2010 03:56
To: '[email protected]'; Abdulbaqi Sharaf
Subject: RE: word cloud for Qur'anic chapters

Dear Abdulbaqi,

Well done job and as Dr Atwel said it is about time for someone to do it and I am sure it will lead to many interested and promising tools in the future. My previous work involved Qur'an Retrieving, we had a stop-words list in addition to a light Arabic stemmer, and we also built a Qur'anic thesaurus. I will be very keen to see their effects on the presented Qur'anic Cloud if possible.

Regarding Bayan Shawar's answer, the most influencing parts in Clouds are the font size or style, I do not think the order has anything to do with it (for example, if we took more than one chapter “Sura” the order does not make any sense as the repetition is eliminated). In my opinion, the listing does not affect the Quran itself specially when it is unordered.

Best of luck,
Mahmoud

School of Computer Science and Electronic Engineering.
University of Essex.
Colchester CO4 3SQ, United Kingdom.
URL: http://privatewww.essex.ac.uk/~melhaj/




-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Bayan Shawar
Sent: Sunday, January 24, 2010 8:16 PM
To: [email protected]; Abdulbaqi Sharaf
Subject: Re: word cloud for Qur'anic chapters

Salam Sharaf,
This is me Bayan Abu Shawar if you still remember. In fact it is a good idea if you apply it in any Arabic corpus, but i am not sure what will be the aim of doing this to Qur'an? Ok you extract the content words but they are not appear in the same order as it in Qur'an, so it's like you extract content words from different souras and merge it together. may be i am not familiar with world cloud, but because it is Qur'an we should be careful. If the aim is to extract th content word, then for example see how these words are used nowadays in different Arabic corpra like media one, comparing language of Qur'an with other ones, and do other useful statistics, this will be good. I am just worry about the way result appear in the link u sent us, just because it is qur'an, may be you could presented in a different way. What do you think?

Good luck,
Bayan

--- On Sat, 23/1/10, Abdulbaqi Sharaf <[email protected]> wrote:

From: Abdulbaqi Sharaf <[email protected]>
Subject: word cloud for Qur'anic chapters
To: "[email protected]" <[email protected]>
Date: Saturday, 23 January, 2010, 16:29
Hello,

I have implemented "word cloud" for Qur'anic surahs:
http://www.textminingthequran.com/php/wordcloud.html

you can choose more than one Sura, and can consider only
content words, the list of stop words is initial and should
grow to more words in future, have a try and let me know
your feedback..

best,

Abdul-Baquee M. Sharaf
PhD Student
Language Technologies Group
School of Computing
University of Leeds
UK







--- End Message ---

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