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Posted to issues@spark.apache.org by "Shubham Chopra (JIRA)" <ji...@apache.org> on 2017/05/26 18:39:04 UTC

[jira] [Created] (SPARK-20902) Word2Vec implementations with Negative Sampling

Shubham Chopra created SPARK-20902:
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             Summary: Word2Vec implementations with Negative Sampling
                 Key: SPARK-20902
                 URL: https://issues.apache.org/jira/browse/SPARK-20902
             Project: Spark
          Issue Type: Improvement
          Components: ML, MLlib
    Affects Versions: 2.1.1
            Reporter: Shubham Chopra


Spark MLlib Word2Vec currently only implements Skip-Gram+Hierarchical softmax. Both Continuous bag of words (CBOW) and SkipGram have shown comparative or better performance with Negative Sampling. This umbrella JIRA is to keep a track of the effort to add negative sampling based implementations of both CBOW and SkipGram models to Spark MLlib.



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