Determining the mood of social network users in real-time by sentiment analysis methodsusing Big Data tools

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/9767

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DC Field	Value	Language
dc.contributor.author	Lazarovych, Ihor	-
dc.contributor.author	Ivankiv, Rostyslav	-
dc.contributor.author	Лазарович, Ігор Миколайович	-
dc.date.accessioned	2021-04-28T12:53:48Z	-
dc.date.available	2021-04-28T12:53:48Z	-
dc.date.issued	2021-03-24	-
dc.identifier.citation	I. Lazarovych, R. Ivankiv, “Determining the mood of social network users in real-time by sentiment analysis methods using Big Data tools,” in Proc. 5th International Scientific and Practical Conference on Applied Scientific and Technical Research, Ivano-Frankivsk, Ukraine, April 5–7, 2021,. pp. 65-67. ISBN 978-617-7926-12-1	uk_UA
dc.identifier.issn	978-617-7926-12-1	-
dc.identifier.uri	http://hdl.handle.net/123456789/9767	-
dc.description.abstract	The purpose of the work is to determine the mood of users about a particular topic in real-time. It is necessary to find the optimal method of determining the mood of social network users, using approaches to sentiment analysis in the context of working with large amounts of data.	uk_UA
dc.language.iso	en	uk_UA
dc.publisher	Кушнір Г. М.	uk_UA
dc.subject	Natural language processing	uk_UA
dc.subject	Sentiment analysis	uk_UA
dc.subject	Big Data	uk_UA
dc.subject	MapReduce	uk_UA
dc.title	Determining the mood of social network users in real-time by sentiment analysis methodsusing Big Data tools	uk_UA
dc.type	Thesis	uk_UA
Appears in Collections:	Статті та тези (ФМІ)

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