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

Title:	Determining the mood of social network users in real-time by sentiment analysis methodsusing Big Data tools
Authors:	Lazarovych, Ihor Ivankiv, Rostyslav Лазарович, Ігор Миколайович
Keywords:	Natural language processing Sentiment analysis Big Data MapReduce
Issue Date:	24-Mar-2021
Publisher:	Кушнір Г. М.
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
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.
URI:	http://hdl.handle.net/123456789/9767
ISSN:	978-617-7926-12-1
Appears in Collections:	Статті та тези (ФМІ)

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