Sentiments and Opinions Annotation in User-generated Texts

BOBICEV, Victoria

dc.contributor.author	BOBICEV, Victoria
dc.date.accessioned	2021-04-30T09:53:05Z
dc.date.available	2021-04-30T09:53:05Z
dc.date.issued	2011
dc.identifier.citation	BOBICEV, Victoria. Sentiments and Opinions Annotation in User-generated Texts. In: International Workshop on Intelligent Information Systems, 13-14 Sept. 2011, Chișinău. 2011, pp. 119-122. ISBN 978-9975-4237-0-0.	en_US
dc.identifier.isbn	978-9975-4237-0-0
dc.identifier.uri	http://81.180.74.21:8080/xmlui/handle/123456789/14645
dc.description.abstract	In this work, we analyze sentiments and opinions expressed in user-written Web messages. The messages discuss health related topics: medications, treatment, illness and cure, etc. Recognition of sentiments and opinions is a challenging task for humans as well as an automated text analysis. The paper presents the annotation model, discusses characteristics of subjectivity annotations in health-related messages, and reports the results of the annotation agreement.	en_US
dc.language.iso	en	en_US
dc.publisher	Institutul de Matematică şi Informatică al AŞM	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	language processing	en_US
dc.subject	text annotations	en_US
dc.subject	inter-annotation agreements	en_US
dc.subject	opinion mining	en_US
dc.subject	sentiment analysis	en_US
dc.title	Sentiments and Opinions Annotation in User-generated Texts	en_US
dc.type	Article	en_US