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From "Sebastian Nagel (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (NUTCH-2038) Naive Bayes classifier based url filter
Date Wed, 24 Jun 2015 15:48:04 GMT

    [ https://issues.apache.org/jira/browse/NUTCH-2038?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14599610#comment-14599610
] 

Sebastian Nagel commented on NUTCH-2038:
----------------------------------------

Jaccard similarity sounds more like a scoring metric. Of course, it can be transformed to
a boolean accept/reject by a threshold.

Btw., a plugin can implement multiple interfaces and, e.g., calculate a score in the parse
filter, cache it in the parse meta data, and use it in distributeScoreToOutlinks.

> Naive Bayes classifier based url filter
> ---------------------------------------
>
>                 Key: NUTCH-2038
>                 URL: https://issues.apache.org/jira/browse/NUTCH-2038
>             Project: Nutch
>          Issue Type: New Feature
>          Components: fetcher, injector, parser
>            Reporter: Asitang Mishra
>            Assignee: Chris A. Mattmann
>              Labels: memex, nutch
>             Fix For: 1.11
>
>
> A url filter that will filter out the urls (after the parsing stage,  will keep only
those urls that contain some "hot words" provided again in a list.) from that pages that are
classified irrelevant by the classifier.



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