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https://issues.apache.org/jira/browse/MAHOUT-242?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12803302#action_12803302
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Jake Mannix commented on MAHOUT-242:
------------------------------------
I can try and take a look at this later today / tonight.
regarding
bq. CollocMapper, Line 66: If I read your implementation correctly, this means
that documents are always read fully into memory, right? So we would assume to
only run the ngramCollector over documents that fit into main memory and unable
to process larger documents. I am wondering whether this is an issue at all,
and if so, whether there is any way around that.
Are we really worried about individual documents which are bigger than hundreds
of MB?
> LLR Collocation Identifier
> --------------------------
>
> Key: MAHOUT-242
> URL: https://issues.apache.org/jira/browse/MAHOUT-242
> Project: Mahout
> Issue Type: New Feature
> Affects Versions: 0.3
> Reporter: Drew Farris
> Priority: Minor
> Attachments: MAHOUT-242.patch, mahout-colloc.tar.gz,
> mahout-colloc.tar.gz
>
>
> Identifies interesting Collocations in text using ngrams scored via the
> LogLikelihoodRatio calculation.
> As discussed in:
> *
> http://www.lucidimagination.com/search/document/d051123800ab6ce7/collocations_in_mahout#26634d6364c2c0d2
> *
> http://www.lucidimagination.com/search/document/b8d5bb0745eef6e8/n_grams_for_terms#f16fa54417697d8e
> Current form is a tar of a maven project that depends on mahout. Build as
> usual with 'mvn clean install', can be executed using:
> {noformat}
> mvn -e exec:java -Dexec.mainClass="org.apache.mahout.colloc.CollocDriver"
> -Dexec.args="--input src/test/resources/article --colloc target/colloc
> --output target/output -w"
> {noformat}
> Output will be placed in target/output and can be viewed nicely using:
> {noformat}
> sort -rn -k1 target/output/part-00000
> {noformat}
> Includes rudimentary unit tests. Please review and comment. Needs more work
> to get this into patch state and integrate with Robin's document vectorizer
> work in MAHOUT-237
> Some basic TODO/FIXME's include:
> * use mahout math's ObjectInt map implementation when available
> * make the analyzer configurable
> * better input validation + negative unit tests.
> * more flexible ways to generate units of analysis (n-1)grams.
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