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https://issues.apache.org/jira/browse/MAHOUT-588?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Szymon Chojnacki updated MAHOUT-588:
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Attachment: Top1000Tokens_maybe_stopWords
The most common tokens, I will extend stopWord list with some of them (e.g.
http, from, have, mail), default Lucene stop words are only:
"a", "an", "and", "are", "as", "at", "be", "but", "by","for", "if", "in",
"into", "is", "it","no", "not", "of", "on", "or", "such","that", "the",
"their", "then", "there", "these", "they", "this", "to", "was", "will", "with"
> Benchmark Mahout's clustering performance on EC2 and publish the results
> ------------------------------------------------------------------------
>
> Key: MAHOUT-588
> URL: https://issues.apache.org/jira/browse/MAHOUT-588
> Project: Mahout
> Issue Type: Task
> Reporter: Grant Ingersoll
> Attachments: SequenceFilesFromMailArchives.java,
> SequenceFilesFromMailArchives2.java, Top1000Tokens_maybe_stopWords,
> Uncompress.java, distcp_large_to_s3_failed.log, seq2sparse_small_failed.log,
> seq2sparse_xlarge_ok.log
>
>
> For Taming Text, I've commissioned some benchmarking work on Mahout's
> clustering algorithms. I've asked the two doing the project to do all the
> work in the open here. The goal is to use a publicly reusable dataset (for
> now, the ASF mail archives, assuming it is big enough) and run on EC2 and
> make all resources available so others can reproduce/improve.
> I'd like to add the setup code to utils (although it could possibly be done
> as a Vectorizer) and the publication of the results will be put up on the
> Wiki as well as in the book. This issue is to track the patches, etc.
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