[jira] [Updated] (OPENNLP-842) Introduce a Sentiment Quantification component

["Richard Zowalla (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/OPENNLP-842?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Richard Zowalla updated OPENNLP-842:
------------------------------------
    Fix Version/s: 2.5.4

> Introduce a Sentiment Quantification component
> ----------------------------------------------
>
>                 Key: OPENNLP-842
>                 URL: https://issues.apache.org/jira/browse/OPENNLP-842
>             Project: OpenNLP
>          Issue Type: New Feature
>            Reporter: Mondher Bouazizi
>            Priority: Major
>              Labels: gsoc, gsoc2016
>             Fix For: 2.5.4
>
>
> In addition to the sentiment analysis Component [1], a sentiment quantifier is required. In many cases, particularly for long texts, multiple sentiment are present. The classification task might be able to detect the most dominant sentiment in the text. However, it is as much important to detect the other sentiments and attribute different sentiment scores to these sentiments.
> Therefore, the objective of this component is to attribute sentiment scores after ternary classification: if a text is classified as positive for example, the positive sentiment sub-classes (e.g., "love", "happiness", "fun", etc.) are attributed different scores showing how much each one of them appears in the text. The work [2] presents a good start point, and further iteration on the idea are to be made.
> -------------------------------------------------
> [1] OPENNLP-840
> [2] http://www.ieice.org/ken/paper/20160129DbfF/eng/



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