[
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.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
