[jira] [Assigned] (SPARK-20903) Word2Vec Skip-Gram + Negative Sampling

2017-05-26 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-20903?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-20903:


Assignee: (was: Apache Spark)

> Word2Vec Skip-Gram + Negative Sampling
> --
>
> Key: SPARK-20903
> URL: https://issues.apache.org/jira/browse/SPARK-20903
> Project: Spark
>  Issue Type: Sub-task
>  Components: ML, MLlib
>Affects Versions: 2.1.1
>Reporter: Shubham Chopra
>
> SkipGram + Negative Sampling is shown to be comparative or out-performing the 
> hierarchical softmax based approach currently implemented with Spark. Since 
> word2vec is largely a pre-processing step, the performance often can depend 
> on the application it is being used for, and the corpus it is estimated on. 
> These implementation give users the choice of picking one that works best for 
> their use-case.



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[jira] [Assigned] (SPARK-20903) Word2Vec Skip-Gram + Negative Sampling

2017-05-26 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-20903?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-20903:


Assignee: Apache Spark

> Word2Vec Skip-Gram + Negative Sampling
> --
>
> Key: SPARK-20903
> URL: https://issues.apache.org/jira/browse/SPARK-20903
> Project: Spark
>  Issue Type: Sub-task
>  Components: ML, MLlib
>Affects Versions: 2.1.1
>Reporter: Shubham Chopra
>Assignee: Apache Spark
>
> SkipGram + Negative Sampling is shown to be comparative or out-performing the 
> hierarchical softmax based approach currently implemented with Spark. Since 
> word2vec is largely a pre-processing step, the performance often can depend 
> on the application it is being used for, and the corpus it is estimated on. 
> These implementation give users the choice of picking one that works best for 
> their use-case.



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