The dataset is about the web series data where we sampled the tv shows, web series, Netflix series. The information disclosed about the shows watching around the world. Helps the advertiser’s for pushing the advertisement and series makers for making quick analysis.
The events like which show is being watched more an where it is being watched and which kind of people are watching are seen. It helps advertisers in pulling the data helps them in predicting the TRP which in result helps the series makers and advertisers.
The events take place on how people react to the series they tweet. As a result of COVID-19 most of the people settled back in their homes lacking entertainment.
All over the world. As everyone in the world haves an interest on web series and this data is being used everywhere. Thus, we are working on this data taking this into consideration.
Most of the people believe in IMDB rating rather than genre concept. That is the reason behind doing this web series data collection.
This work was partially sponsored by NSF.
NSF IUSE #1935076
CUE Ethics: Collaborative Research: Open Collaborative Experiential Learning (OCEL.AI): Bridging Digital Divides in Undergraduate Education of Data Science
01/01/2020 – 6/30/2021, $ 350,000
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