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