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https://issues.apache.org/jira/browse/SPARK-9578?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14736695#comment-14736695
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yuhao yang commented on SPARK-9578:
-----------------------------------
A better choice for LDA seems to be lemmatization. Yet that requires pos tags
and extra vocabulary.
If there's no other ongoing effort on this, I'd like to start with a simpler
porter implementation, then try to enhance it to snowball. [~josephkb]
The plan is to cover the most general cases with shorter code. After all, MLlib
is not specific for NLP.
> Stemmer feature transformer
> ---------------------------
>
> Key: SPARK-9578
> URL: https://issues.apache.org/jira/browse/SPARK-9578
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Reporter: Joseph K. Bradley
> Priority: Minor
>
> Transformer mentioned first in [SPARK-5571] based on suggestion from
> [~aloknsingh]. Very standard NLP preprocessing task.
> From [~aloknsingh]:
> {quote}
> We have one scala stemmer in scalanlp%chalk
> https://github.com/scalanlp/chalk/tree/master/src/main/scala/chalk/text/analyze
> which can easily copied (as it is apache project) and is in scala too.
> I think this will be better alternative than lucene englishAnalyzer or
> opennlp.
> Note: we already use the scalanlp%breeze via the maven dependency so I think
> adding scalanlp%chalk dependency is also the options. But as you had said we
> can copy the code as it is small.
> {quote}
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