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| 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 |
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