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https://issues.apache.org/jira/browse/TIKA-2016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15970013#comment-15970013
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ASF GitHub Bot commented on TIKA-2016:
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chrismattmann commented on issue #169: TIKA-2016 Sentiment Analysis Parser
Contributed by amensiko and thammegowda
URL: https://github.com/apache/tika/pull/169#issuecomment-294303110
awesome work @thammegowda! The latest version of the Sentiment Analysis
Parser includes categorical analysis, which we will want to include at some
point, but this is a great start. I will test this (along with my other testing
for video stuff) this weekend.
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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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