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From "yuhao yang (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-8169) Add StopWordsRemover as a transformer
Date Tue, 09 Jun 2015 06:59:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-8169?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14578444#comment-14578444
] 

yuhao yang commented on SPARK-8169:
-----------------------------------

This looks useful. I'd like to give it a try if no one has started on this. And I think there
could be more transformers regarding to text pre-processing. Like the text vectorization in
LDA example and low-frequency filter. 
Some rough ideas:
The default stop words will probably contains English only, yet the StopWordsRemover should
support ASCII.
Case sensitivity will be a parameter.

Let me know if I'm missing some requirement.

> Add StopWordsRemover as a transformer
> -------------------------------------
>
>                 Key: SPARK-8169
>                 URL: https://issues.apache.org/jira/browse/SPARK-8169
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>    Affects Versions: 1.5.0
>            Reporter: Xiangrui Meng
>
> StopWordsRemover takes a string array column and outputs a string array column with all
defined stop words removed. The transformer should also come with a standard set of stop words
as default.
> {code}
> val stopWords = new StopWordsRemover()
>   .setInputCol("words")
>   .setOutputCol("cleanWords")
>   .setStopWords(Array(...)) // optional
> val output = stopWords.transform(df)
> {code}



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