Please use this identifier to cite or link to this item:
|Title:||Sentiment Intensity: Is It a Good Summary Indicator?|
|Authors:||KABADJOV MIJAIL; BALAHUR Alexandra; BOLDRINI Ester|
|Citation:||LECTURE NOTES IN ARTIFICIAL INTELLIGENCE vol. 6562 p. 203-212|
|JRC Publication N°:||JRC65692|
|Type:||Articles in Journals|
|Abstract:||In this paper we address the question of whether “very positive” or “very negative” sentences from the perspective of sentiment analysis are “good” summary sentences from the perspective of text summarisation. We operationalise the concepts of very positive and very negative sentences by using the output of a sentiment analyser and evaluate how good a sentence is for summarisation by making use of standard text summarisation metrics and a corpus annotated for both salience and sentiment. In addition, we design and execute a statistical test to evaluate the aforementioned hypothesis. We conclude that the hypothesis does not hold, at least not based on our corpus data, and argue that summarising sentiment and summarising text are two different tasks which should be treated separately.|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.