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

Autor:	Mohamad Hammam Alsafrjalani
Rok vydání:	2019
Předmět:	Parsing Computer science business.industry Interface (Java) Modular design computer.software_genre Extensibility Metadata World Wide Web Search engine ComputingMethodologies_PATTERNRECOGNITION Social media business computer
Zdroj:	MIPR
DOI:	10.1109/mipr.2019.00092
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e8e9a445d65504fd2ccd02c6b4f05e24 https://doi.org/10.1109/mipr.2019.00092 Zobrazit plný text záznamu