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Apache Spark commented on SPARK-20903: -------------------------------------- User 'shubhamchopra' has created a pull request for this issue: https://github.com/apache/spark/pull/18123 > 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