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Peter Mountanos edited comment on SPARK-14864 at 5/2/16 12:45 AM:
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I will try to work out this feature if no one else has made any progress.
was (Author: peter.mountanos@nyu.edu):
I will try to work out this issue if no one else has made any progress.
> [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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