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https://issues.apache.org/jira/browse/SPARK-4101?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14229916#comment-14229916
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Ilya Ganelin edited comment on SPARK-4101 at 12/1/14 3:48 PM:
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Hi Peter - did you have an algorithm in mind for doing the word analogy? I saw 
a brief mention here: 
https://code.google.com/p/word2vec/

" 
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') 
[3, 1]. You can try out a simple demo by running demo-analogy.sh.
"

Is that what you had in mind or were you thinking of another approach?


was (Author: ilganeli):
Hu Peter - did you have an algorithm in mind for doing the word analogy? I saw 
a brief mention here: 
https://code.google.com/p/word2vec/

" 
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') 
[3, 1]. You can try out a simple demo by running demo-analogy.sh.
"

Is that what you had in mind or were you thinking of another approach?

> [MLLIB] Improve API in Word2Vec model
> -------------------------------------
>
>                 Key: SPARK-4101
>                 URL: https://issues.apache.org/jira/browse/SPARK-4101
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>    Affects Versions: 1.1.0
>            Reporter: Peter Rudenko
>            Priority: Minor
>
> 1) Would be nice to be able to retrieve underlying model map, to be able to 
> work with it after (make an RDD, persist/load,  online train, etc.). (Done by 
> [SPARK-4582|https://issues.apache.org/jira/browse/SPARK-4582] )
> 2) Be able to extend Word2VecModel to add custom functionality (like add 
> analogyWords(w1: String, w2: String, target: String, num: Int) method, which 
> returns n words that relates to target as w1 to w2).
> 3) Make cosineSimilarity method public to be able to reuse it. 



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