[jira] Updated: (MAHOUT-242) LLR Collocation Identifier

["Drew Farris (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-242?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Drew Farris updated MAHOUT-242:
-------------------------------

    Attachment: mahout-colloc.tar.gz

> 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-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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