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From "Peter Mountanos (JIRA)" <>
Subject [jira] [Comment Edited] (SPARK-14864) [MLLIB] Implement Doc2Vec
Date Mon, 02 May 2016 00:46:12 GMT


Peter Mountanos edited comment on SPARK-14864 at 5/2/16 12:45 AM:

I will try to work out this feature if no one else has made any progress.

was (Author:
I will try to work out this issue if no one else has made any progress.

> [MLLIB] Implement Doc2Vec
> -------------------------
>                 Key: SPARK-14864
>                 URL:
>             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|]. Gensim has
an implementation [Deep learning with paragraph2vec|].

> 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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