Kia Jahanbin, Vahid Rahmanian, Fereshte Rahmanian

Predicting COVID-19 in Iran Using Automate Web Crawling

Kia Jahanbin, Vahid Rahmanian, Fereshte Rahmanian



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Abstract

Collecting, analyzing and using data related to Covid-19 has become one of widely-debated research topics on this disease1,2. On the one hand, the use of social networks as a new method in identifying the prevalence of infectious diseases and predicting Covid-19 outbreaks has been proposed in various studies1-3.

the subset sciences “Big Data” in social networking. A web news mining-based automatic system can monitor, evaluate, and categorize news, which, in addition to managing news articles, could also be applied to the field of advisory systems4,5



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