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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