Yes, the equation is known as TF-IDF. It stands for Term-Frequency, Inverse
Document Frequency.Here is more info:  http://en.wikipedia.org/wiki/Tf*idf

It states that a word is a keyword in this document, if it is common in
this document, and uncommon elsewhere. So for example a word like '*dog*'
will be a keyword, but it will ignore certain words like '*the*' or '*and*'.

Then find other documents with similar keywords.

Also, ideally you do not deal with words themselves, but rather the stems
of the words. So for example dog and dogs should map to the same stem. The
best algorithm for this is the Porter Stemming algorithm.

Reuben Bartolo
http://whatiseeinit.blogspot.com/

On 7 June 2012 06:39, jack me <[email protected]> wrote:

> Hi,
>
> Is there any way to find the keyword of an articles. I need to find
> related articles of a article directory.
>
> e.g. I have xpode.com I need to get related articles of an article. Is
> there any algorithm or way which can find related articles. I searched
> google but It did not show the results expected. (Also posted in some
> groups. if found the solution will share here.)
>
> as i think a bit of artificial int. needs in this concept.
>
> Thanks,
> Rohit
>
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