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https://issues.apache.org/jira/browse/SPARK-14864?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16015693#comment-16015693
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Rajdeep Mondal commented on SPARK-14864:
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Sorry to bother. Any progress on this?
> [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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