Hi Koji,

Semantic vectors is here: http://code.google.com/p/semanticvectors/

It is a project that has been around for a number of years and used by many
people (including me
http://zzzoot.blogspot.com/2009/07/project-torngat-building-large-scale.html
).

If you could compare and contrast word2vec with Semantic Vectors, this
would allow many of us to understand where/when we might want to use
word2vec.

Thank-you,
Glen

On Thu, Nov 20, 2014 at 10:24 AM, Koji Sekiguchi <k...@r.email.ne.jp> wrote:

> Hi Paul,
>
> I cannot compare it to SemanticVectors as I don't know SemanticVectors.
> But word vectors that are produced by word2vec have interesting properties.
>
> Here is the description of the original word2vec web site:
>
>
> https://code.google.com/p/word2vec/#Interesting_properties_of_the_word_vectors
> Interesting properties of the word vectors
> It was recently shown that the word vectors capture many linguistic
> regularities, for example vector
> operations vector('Paris') - vector('France') + vector('Italy') results in
> a vector that is very
> close to vector('Rome'), and vector('king') - vector('man') +
> vector('woman') is close to
> vector('queen')
>
> Thanks,
>
> Koji
>
>
> (2014/11/20 20:01), Paul Libbrecht wrote:
> > Hello Koji,
> >
> > how would you compare that to SemanticVectors?
> >
> > paul
> >
> > On 20 nov. 2014, at 10:10, Koji Sekiguchi <k...@r.email.ne.jp> wrote:
> >
> >> Hello,
> >>
> >> It's my pleasure to share that I have an interesting tool "word2vec for
> Lucene"
> >> available at https://github.com/kojisekig/word2vec-lucene .
> >>
> >> As you can imagine, you can use "word2vec for Lucene" to extract word
> vectors from Lucene index.
> >>
> >> Thank you,
> >>
> >> Koji
> >> --
> >>
> http://soleami.com/blog/comparing-document-classification-functions-of-lucene-and-mahout.html
> >
> >
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> >
> >
>
>
> --
>
> http://soleami.com/blog/comparing-document-classification-functions-of-lucene-and-mahout.html
>
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