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Innovation award
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Winner: 1x |
This class can automatically suggest keywords from content text. It can be used for instance to suggest keywords for the META tags of a Web site page.
It counts the number of occurrences of single or multiple word expressions within the given content text.
The most frequent expressions are suggested as keywords.
The class exclude a given list of words from the analysis.
July 2006
Winner
Prize: One downloadable copy of Roadsend PHP Compiler |
Content sites often use keywords to better describe the topics of published articles.
The keywords may help the sites being better indexed by placing the keywords in the page META tags.
Another useful application of the keywords is to build tag clouds that give a better idea of which are most popular topics of a site.
Usually the authors or moderators need to specify the article keywords.
In some cases, it is not convenient to ask the contributors to enter the article keywords, as it is a tedious task that they may not be interested to do.
In other cases, it may not be viable to ask the contributors to associate tags, as the articles were already submitted before keyword association was implemented.
This class provides an automated solution to suggest relevant keywords to be associated to the text of an article.
It provides an alternative solution to the situations described above, on which it is not convenient or viable to ask the original contributors to associate keywords to their articles.
Manuel Lemos |
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| Autolink Keywords |
Recommended |
The output of this class is used as an input to the Autolink Keywords class |
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