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 f
Thanks Glen for the URL. I'd like to check it when I am available.
Thanks Paul for giving me the difference between them. I like your description!
Koji
(2014/11/21 2:18), Paul Libbrecht wrote:
> As far as I could tell, word2vec seems more mathematical, which is rather
> nice.
> At least I see m
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 wrote:
> As far as I could t
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 q
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
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
I
Hello Koji,
how would you compare that to SemanticVectors?
paul
On 20 nov. 2014, at 10:10, Koji Sekiguchi 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 imagin
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/compar
