[jira] [Commented] (SPARK-19892) Implement findAnalogies method for Word2VecModel

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-19892?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15904471#comment-15904471 ] 

Apache Spark commented on SPARK-19892:
--------------------------------------

User 'benradford' has created a pull request for this issue:
https://github.com/apache/spark/pull/17234

> Implement findAnalogies method for Word2VecModel 
> -------------------------------------------------
>
>                 Key: SPARK-19892
>                 URL: https://issues.apache.org/jira/browse/SPARK-19892
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>    Affects Versions: 2.1.0
>            Reporter: Benjamin Radford
>            Priority: Minor
>              Labels: features, newbie
>
> Word2VecModel is missing a method that allows for performing analogy-like queries on word vectors (e.g. King + Woman - Man = Queen). This is a functionality common to other word2vec implementations (see gensim) and is a major component of word2vec's appeal as cited in seminal works on the model (https://code.google.com/archive/p/word2vec/). 
> An implementation of this method, findAnalogies, should accept three arguments:
> * positive - Array[String] of similar words
> * negative - Array[String] of dissimilar words
> * num - Int number of synonyms or nearest neighbors to calculated vector



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