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Posted to issues@spark.apache.org by "Peter Mountanos (JIRA)" <ji...@apache.org> on 2016/04/23 01:52:12 UTC

[jira] [Created] (SPARK-14864) [MLLIB] Implement Doc2Vec

Peter Mountanos created SPARK-14864:
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             Summary: [MLLIB] Implement Doc2Vec
                 Key: SPARK-14864
                 URL: https://issues.apache.org/jira/browse/SPARK-14864
             Project: Spark
          Issue Type: New Feature
          Components: MLlib
            Reporter: Peter Mountanos
            Priority: Minor


It would be useful to implement Doc2Vec, as described in the paper [Distributed Representations of Sentences and Documents|https://cs.stanford.edu/~quocle/paragraph_vector.pdf]. Gensim has an implementation [Deep learning with paragraph2vec|https://radimrehurek.com/gensim/models/doc2vec.html]. 

Le & Mikolov show that when aggregating Word2Vec vector representations for a paragraph/document, it does not perform well for prediction tasks. Instead, they propose the Paragraph Vector implementation, which provides state-of-the-art results on several text classification and sentiment analysis tasks.



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