tika-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
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 Mon, 01 May 2017 18:43:04 GMT

    [ https://issues.apache.org/jira/browse/TIKA-2016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15991280#comment-15991280
] 

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-298398994
 
 
   @chrismattmann Please test this, let me know if you find any issues! Thanks
 
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


> 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.



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

Mime
View raw message