Innovation Award
 February 2006
Number 9 |
Sometimes people need to read many documents to learn all the relevant information contained in them.
However, when the documents are long, there may be not enough time to read them with the attention that is necessary to extract the important information.
This class provides a solution that uses several algorithms to automatically analyze documents and build summaries that can be read in much less time.
Despite this solution is specific for Arabic documents, it could be adapted to summarize documents in other idioms.
Manuel Lemos |
This class can be used to automatically extract key phrases to summarize an given Arabic text.
The class can parse a long Arabic text and use stemming and ranking algorithms to identify which can the be the most important keywords than can be used to summarize the text.
It can also mark the text to highlight the keywords along the given text for presentation in an HTML page.
This class is part of Khaled Al-Shamaa project for PHP and Arabic language:
http://www.al-shamaa.com/php/arabic/
| Ratings | Utility |
Consistency |
Documentation |
Examples |
Tests |
Videos |
Overall |
Rank |
| All time: |
Good (87.5%) |
Sufficient (68.8%) |
Good (87.5%) |
Sufficient (75.0%) |
- |
- |
Sufficient (66.9%) |
297 |
| Month: |
Not yet rated by the users |
No application links were specified for this class.

If you know an application of this package, send a message to the
author to add a link here.