Clustering of media content from social networks using bigdata technology

Clustering of media content from social networks using bigdata technology

The article deals with one of the key problems of the social network analysis – the problem of classifying accounts based on media content uploaded by users. The main difficulties are the content heterogeneity (both in format and subject) and the large volumes of data, which leads to excessive compu...

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Bibliographic Details
Main Authors:	Igor Rytsarev, Dmitriy Kirsh, Alexandr Kupriyanov
Format:	Article
Language:	English
Published:	Samara National Research University 2018-10-01
Series:	Компьютерная оптика
Subjects:	cluster analysis BigData technology text annotation social networks media content analysis k-means clustering GoogLeNet
Online Access:	http://computeroptics.smr.ru/KO/PDF/KO42-5/420524.pdf

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