DETECTING NEW EVENTS BASED ON THE RATING OF TWITTER SOURCES
Journal Title: Вчені записки Таврійського національного університету імені В. І. Вернадського. Серія: Технічні науки - Year 2018, Vol 29, Issue 3
Abstract
In this article, we study methods for identifying new events from the information flow of the global Internet. An approach his proposed for identifying new events using the method of rating information sources with in the sociall network Twitter. The proposed method makes it possible to reduce the cost of monitoring sources and the necessary capacity to hand lean identify new events. A redistribution of the source rating once in the N-time, in creases the fullness and accuracy of the sample overtime. Traditional methods of extracting new events have the problem of the speed of event detection and the need for accumulation and processing of super-large datasets. This problem is solved by the creation and monitoring of themstrated sources of the social network.
Authors and Affiliations
С. В. Прищепа
Keywords
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