Sentiment Analysis of User-Generated Online Content

dc.contributor.author	BOBICEV, V.
dc.contributor.author	SOKOLOVA, M.
dc.date.accessioned	2019-07-17T07:33:36Z
dc.date.available	2019-07-17T07:33:36Z
dc.date.issued	2015
dc.identifier.citation	BOBICEV, V. SOKOLOVA, M. Sentiment Analysis of User-Generated Online Content. In: Telecomunicaţii, Electronică şi Informatică: proc. of the 5th intern. conf., May 20-23, 2015. Chişinău, 2015, pp. 335-338. ISBN 978-9975-45-377-6.	en_US
dc.identifier.isbn	978-9975-45-377-6
dc.identifier.uri	http://repository.utm.md/handle/5014/3585
dc.description.abstract	This paper presents several experiments in the domain of automate text sentiment analysis. Comparison between machine learning (ML) and rule-based algorithms demonstrated that well-tuned rule-based methods obtain better results than general ML methods and it is necessary to use various types of features for obtaining satisfactory accuracy using ML algorithms.	en_US
dc.language.iso	en	en_US
dc.publisher	Technical University of Moldova	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	natural language	en_US
dc.subject	text analysis	en_US
dc.subject	text sentiment analysis	en_US
dc.subject	semantic lexicon	en_US
dc.subject	machine learning	en_US
dc.subject	limbaj natural	en_US
dc.subject	analiza textului	en_US
dc.subject	sentimente	en_US
dc.subject	lexicon semantic	en_US
dc.subject	învățarea mașinilor	en_US
dc.title	Sentiment Analysis of User-Generated Online Content	en_US
dc.type	Article	en_US