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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2014/08/01 18:17:38 UTC

[jira] [Commented] (SPARK-2510) word2vec: Distributed Representation of Words

    [ https://issues.apache.org/jira/browse/SPARK-2510?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14082416#comment-14082416 ] 

Apache Spark commented on SPARK-2510:
-------------------------------------

User 'Ishiihara' has created a pull request for this issue:
https://github.com/apache/spark/pull/1719

> word2vec: Distributed Representation of Words
> ---------------------------------------------
>
>                 Key: SPARK-2510
>                 URL: https://issues.apache.org/jira/browse/SPARK-2510
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Liquan Pei
>            Assignee: Liquan Pei
>   Original Estimate: 672h
>  Remaining Estimate: 672h
>
> We would like to add parallel implementation of word2vec to MLlib. word2vec finds distributed representation of words through training of large data sets. We will focus on skip-gram model and hierarchical softmax in our initial implementation. 



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