[jira] [Updated] (HIVEMALL-126) Max Entropy Classifier for Text classification

["Makoto Yui (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HIVEMALL-126?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Makoto Yui updated HIVEMALL-126:
--------------------------------
    Fix Version/s:     (was: 0.6.0)
                   0.7.0

> Max Entropy Classifier for Text classification
> ----------------------------------------------
>
>                 Key: HIVEMALL-126
>                 URL: https://issues.apache.org/jira/browse/HIVEMALL-126
>             Project: Hivemall
>          Issue Type: New Feature
>            Reporter: Makoto Yui
>            Assignee: Makoto Yui
>            Priority: Major
>             Fix For: 0.7.0
>
>
> Max Entropy Classifier (a.k.a. Multi-nominal/Multiclass Logistic Regression) [1,2] is useful for Text classification.
> We have [an incoming pull request|https://github.com/apache/incubator-hivemall/pull/93] of Max Entropy Classifier that uses [Apache OpenNLP|https://opennlp.apache.org/docs/1.7.2/manual/opennlp.html#opennlp.ml.maxent] internally.
> [1] http://blog.datumbox.com/machine-learning-tutorial-the-max-entropy-text-classifier/
> [2] https://en.wikipedia.org/wiki/Multinomial_logistic_regression
> Need to check the quality of OpenNLP MaxEnt and it might be better to create own Multinominal Logistic Regression (e.g., based on smile).
> https://github.com/haifengl/smile/blob/master/core/src/main/java/smile/classification/LogisticRegression.java



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