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From Andrew Zhang <rooseve6...@gmail.com>
Subject Re: Phase Extraction, mainly for English
Date Tue, 06 Oct 2009 23:37:48 GMT
Right, Vasu, I think NLP is good, I should take some time to look at that.
Thanks.

On Tue, Oct 6, 2009 at 8:10 PM, Vasudevan Comandur <vcomandur@gmail.com>wrote:

> Hi,
>
>   Take the NLP route and use modules like POS tagger and NP chunker.
>
>   OpenNLP has a stack for English language. Try to use them.
>
> Regards
>  Vasu
>
> On Tue, Oct 6, 2009 at 5:12 PM, Andrew Zhang <rooseve6891@gmail.com>
> wrote:
>
> > Hi guys,
> >
> > The requirement is very simple here, e.g. for this sentence, 'The NBA
> > formally announced its new *social media* guidelines Wednesday',  I want
> to
> > treat '*social media*' as a whole phase term. The default english
> analyzers
> > came with lucene all deal with single word, so it you want to get the
> most
> > frequent terms, *social *and *media* are separated, and each of them
> can't
> > represent a good meaning as *social media*, right?
> >
> > I know there's a way built on some phase dictionary, and try to match the
> > phase already there, very like the way to do with chinese language, but
> is
> > there an open source solution for english, I mean I don't want to build a
> > phase dictionary myself, and I also want a smart way, which can
> "discover"
> > the phase automatically. I got 2 millions docs analyzered the norma way,
> > all
> > single terms, which I can use as a base source, and it's possible to find
> > that *social media *came together frequently, but I really don't know
> > what's
> > the reverse way.
> >
> > I tried to find some phase analyzers, but no luck. so any advices?
> >
> > Regards,
> > Andrew
> > --
> > Simple is best
> >
>



-- 
Simple is best

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