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 <vcoman...@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 <rooseve6...@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
