Hi Joseph,
Thank you for asking. If you want to do it in the interactive sense,
it won't work well practically because it takes several minutes for learning.
If you accept working in batch sense, the feature can be implemented,
but I've not done it yet. I have the open ticket for that:
accept filter query
https://github.com/kojisekig/word2vec-lucene/issues/2
Thanks,
Koji
(2014/11/21 8:22), Joseph Obernberger wrote:
Hi Koji - is it possible to execute word2vec on a subset of documents from
Solr? - ie could I run a query, get back the top n results and pass only
those to word2vec?
Will this work with Solr Cloud?
Thank you!
-Joe
On Thu, Nov 20, 2014 at 12:18 PM, Paul Libbrecht <p...@hoplahup.net> wrote:
As far as I could tell, word2vec seems more mathematical, which is rather
nice.
At least I see more transparent math in the web-page.
Maybe this helps a bit?
SemanticVectors has always rather pleasant for the LSI/LSA-like approach,
but precisely this is mathematically opaque.
Maybe it's more a question of presentation.
Paul
On 20 nov. 2014, at 16:24, 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
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