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From Vasudevan Comandur <>
Subject Re: Phase Extraction, mainly for English
Date Tue, 06 Oct 2009 12:10:54 GMT

   Take the NLP route and use modules like POS tagger and NP chunker.

   OpenNLP has a stack for English language. Try to use them.


On Tue, Oct 6, 2009 at 5:12 PM, Andrew Zhang <> 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

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