Mondher Bouazizi created OPENNLP-842:
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Summary: Sentiment Quantification
Key: OPENNLP-842
URL: https://issues.apache.org/jira/browse/OPENNLP-842
Project: OpenNLP
Issue Type: New Feature
Reporter: Mondher Bouazizi
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.
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[1] OPENNLP-840
[2] http://www.ieice.org/ken/paper/20160129DbfF/eng/
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