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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (TIKA-2016) A parser that combines Apache OpenNLP and Apache Tika and provides facilities for automatically deriving sentiment from text.
Date Sun, 16 Apr 2017 00:35:42 GMT

    [ https://issues.apache.org/jira/browse/TIKA-2016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15970210#comment-15970210
] 

ASF GitHub Bot commented on TIKA-2016:
--------------------------------------

thammegowda commented on issue #169: TIKA-2016  Sentiment Analysis Parser Contributed by amensiko
and thammegowda
URL: https://github.com/apache/tika/pull/169#issuecomment-294325952
 
 
   > The latest version of the Sentiment Analysis Parser includes categorical analysis,
which we will want to include at some point, 
   
   I had tried the newer version. The problems faced: The SentimentME models did not work(They
have renamed the classes). So we have to retrain models to upgrade the OpenNLP 
 
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> A parser that combines Apache OpenNLP and Apache Tika and provides facilities for automatically
deriving sentiment from text.
> -----------------------------------------------------------------------------------------------------------------------------
>
>                 Key: TIKA-2016
>                 URL: https://issues.apache.org/jira/browse/TIKA-2016
>             Project: Tika
>          Issue Type: New Feature
>          Components: parser
>            Reporter: Anastasija Mensikova
>            Assignee: Chris A. Mattmann
>              Labels: analysis, gsoc2016, memex, parser, sentiment
>             Fix For: 1.15
>
>
> A new project that implements a parser that uses Apache OpenNLP and Apache Tika to perform
Sentiment Analysis.



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