Web crawling and semantic analysis to support identification of pirate video sharing pirates

Web crawling and semantic analysis to support identification of pirate video sharing pirates

The main purpose of web crawling and web scraping algorithms, is to collect unstructured data within the web and manage it to fit as many scenarios as possible. Through this thesis we want to create an algorithm able to analyze websites (starting from a blacklist, up to youtube) use the content starting from the metadata present within the shared videos and analyze them through AI and ML techniques.

Main topic:

IT/Automation – Web Crawling, Semantic crawler, Web Scraping, Machine Learning

Course of study and candidate requirements:

Computer Science, Computer Engineering

Location: Naples and Milan

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