[jira] [Commented] (SPARK-9578) Stemmer feature transformer

["yuhao yang (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-9578?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14736695#comment-14736695 ] 

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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