I applied for an internship in the data science domain. They gave me this task 'Crawl news & information websites & anticipate the likelihood of its virality. '.
I just want to know, what actually I have to do in this task. Is it the same as web scraping in our course part? And what is second part (anticipate the likelihood of its virality) about?
Crawl news & information websites & anticipate the likelihood of its virality
Hey @sarimurrab, basically you have to crawl the data, and make a machine learning model, that would predict its likelihood of virality. For this either you can use pretrained models, or previously build models for tweets/news/stories virality. etc. You need to go through one or two papers to conclude what exactly needs to be done, and how its to be done.
Hope this resolved your doubt.
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