An Extensible, Modular Framework for Classifying YouTube Videos Using Web and Social Media

被引：0
|
作者：
Alsafrjalani, Mohamad Hammam [1 ]
机构：
[1] Univ Miami, Coral Gables, FL 33124 USA
来源：
2019 2ND IEEE CONFERENCE ON MULTIMEDIA INFORMATION PROCESSING AND RETRIEVAL (MIPR 2019) | 2019年
关键词：
YouTube; Videos; Classification; Twitter; Social Media; Cybersecurity;
D O I：
10.1109/MIPR.2019.00092
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we present an extensible framework that classifies YouTube videos using the videos' metadata and a combination of parsing and searching modules. To obtain classification relative to the contextual environment, the modules interface with web search engines, social media platforms, and third-party classification services.
引用
收藏
页码：459 / 462
页数：4
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