[
https://issues.apache.org/jira/browse/SPARK-14864?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15266024#comment-15266024
]
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: [email protected]):
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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
