I attached beta version of presentation.
I must consult with mentor form my college to examine
exact which the role of clusterin is in this system.
I am not sure about it, and I will complete my idea
tomorrow.
Best Regards
--- Isabel Drost <apache_mahout@isabel-drost.de>
wrote:
> On Tuesday 25 March 2008, Marko Novakovic wrote:
> > Other components will be clasifier, crawler and
> > indexer.
>
> So it will be the typical setup: Crawl web pages,
> classify them as positive or
> negative and in the end index them correctly? I
> would be especially
> interested in how the classifier will be build - as
> far as you can share any
> such knowledge on a public mailing list before
> September '08.
>
>
> > I have idea about architecture in which all
> > components will be run at each machine.
>
> I think the system architecture was pretty clear
> from the slides you sent. I
> would be nice if you could briefly sketch them on
> list as the slides have not
> survived being sent to a mailing list :)
>
>
> > My idea for clustering would be making relevance
> by
> > properties, like repetition keywods on page,
> relevant
> > tags, keyword in subject etc. For each property
> will
> > be allocated one axis and from n-dimensional space
> > clustering machine will group pages by proper
> > algrithm, in my case k-Means.
>
> If I understood the task correctly the goal is to
> build a system that is
> capable of separating posts that express some
> opinion from objective ones and
> afterwards to group positive vs. negative postings,
> right?
>
> I do not yet see, how the clustering algorithm
> k-means helps you achieve this
> task.
>
>
> > If you want I will be able to describe detailed
> > relevance for clustering with proper examples
> > tomorrow.
>
> Sounds good.
>
> Isabel
>
>
> --
> "Life sucks, but death doesn't put out at all...."
> -- Thomas J. Kopp
> |\ _,,,---,,_ Web:
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>
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