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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2019/06/17 14:45:00 UTC

[jira] [Assigned] (SPARK-28081) word2vec 'large' count value too low for very large corpora

     [ https://issues.apache.org/jira/browse/SPARK-28081?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-28081:
------------------------------------

    Assignee: Sean Owen  (was: Apache Spark)

> word2vec 'large' count value too low for very large corpora
> -----------------------------------------------------------
>
>                 Key: SPARK-28081
>                 URL: https://issues.apache.org/jira/browse/SPARK-28081
>             Project: Spark
>          Issue Type: Bug
>          Components: ML
>    Affects Versions: 2.4.3
>            Reporter: Sean Owen
>            Assignee: Sean Owen
>            Priority: Minor
>
> The word2vec implementation operates on word counts, and uses a hard-coded value of 1e9 to mean "a very large count, larger than any actual count". However this causes the logic to fail if, in fact, a large corpora has some words that really do occur more than this many times. We can probably improve the implementation to better handle very large counts in general.



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