Thanks for these helpful links. Adam
On 14/12/05, Dave Kor <[EMAIL PROTECTED]> wrote: > > On 12/13/05, Dave Kor <[EMAIL PROTECTED]> wrote: > > On 12/13/05, Ian Soboroff <[EMAIL PROTECTED]> wrote: > > > Paul Libbrecht <[EMAIL PROTECTED]> writes: > > > > > > > We're also thinking about implementing something similar to LSI > within > > > > ActiveMath which is lucene-powered where both formulae and text > > > > searching would benefit of the latent-semantic-similarity. I've been > > > > refrained of doing "exactly this" at least since LSI is patented. > This > > > > might also be a reason why there's no implementation in Lucene's > > > > sandbox. > > > > > > > > Have you looked at other vector-based approaches which are not > exactly LSI ? > > > > Have you looked at InfoMap NLP ? > > > > > > Look for Thomas Hofmann's "probabilistic LSI", and other recent work > > > which cites it. > > > > You might also be interested in "Latent Dirichlet Allocation (LDA)" by > > David Blei. In short, it is a more advanced version of "probabilistic > > LSI". I am currently writing some code to dump Lucene documents into a > > file format used by Blei's LDA implementation written in C. > > Following up on my previous mail about LDA, here are a few links > > David Blei, Andrew Ng and Michael Jordan's paper on LDA > http://www.cs.berkeley.edu/~blei/papers/blei03a.pdf > > David Blei's C implementation of LDA > http://www.cs.berkeley.edu/~blei/lda-c/ > > Gregor Heinrich's port of LDA-c to Java http://www.arbylon.net/projects/ > Note: To use his code in non-windows platform, you will need to > replace his fast Mersenne Twister based random number generator with > Java's standard random number generator. > > > > Regards, > Dave. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [EMAIL PROTECTED] > For additional commands, e-mail: [EMAIL PROTECTED] > >
