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|Title:||Sentiment Intensity: Is It a Good Summary Indicator?|
|Authors:||KABADJOV MIJAIL; BALAHUR Alexandra; BOLDRINI Ester|
|Citation:||Human Languages Technologies as a Challenge for Computer Science and Linguistics - Proceedings of the 4th Language & Technology Conference - ISBN 978-83-7177-746-2 p. 380-384|
|Publisher:||Wydawnictwo Poznanskie Sp. z.o.o.|
|Type:||Articles in periodicals and books|
|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|
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